Upload 34 files
Browse files- README.md +109 -0
- model_index.json +41 -0
- scheduler/scheduler_config.json +16 -0
- text_encoder/config.json +26 -0
- text_encoder/openvino_model.bin +3 -0
- text_encoder/openvino_model.xml +0 -0
- text_encoder_2/config.json +33 -0
- text_encoder_2/openvino_model.bin +3 -0
- text_encoder_2/openvino_model.xml +0 -0
- tokenizer/merges.txt +0 -0
- tokenizer/openvino_detokenizer.bin +3 -0
- tokenizer/openvino_detokenizer.xml +440 -0
- tokenizer/openvino_tokenizer.bin +3 -0
- tokenizer/openvino_tokenizer.xml +995 -0
- tokenizer/special_tokens_map.json +30 -0
- tokenizer/tokenizer_config.json +31 -0
- tokenizer/vocab.json +0 -0
- tokenizer_2/openvino_detokenizer.bin +3 -0
- tokenizer_2/openvino_detokenizer.xml +199 -0
- tokenizer_2/openvino_tokenizer.bin +3 -0
- tokenizer_2/openvino_tokenizer.xml +379 -0
- tokenizer_2/special_tokens_map.json +125 -0
- tokenizer_2/spiece.model +3 -0
- tokenizer_2/tokenizer.json +0 -0
- tokenizer_2/tokenizer_config.json +941 -0
- transformer/config.json +20 -0
- transformer/openvino_model.bin +3 -0
- transformer/openvino_model.xml +0 -0
- vae_decoder/config.json +38 -0
- vae_decoder/openvino_model.bin +3 -0
- vae_decoder/openvino_model.xml +0 -0
- vae_encoder/config.json +38 -0
- vae_encoder/openvino_model.bin +3 -0
- vae_encoder/openvino_model.xml +0 -0
README.md
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---
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language:
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- en
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license: apache-2.0
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tags:
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- text-to-image
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- image-generation
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- flux
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base_model:
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- black-forest-labs/FLUX.1-schnell
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base_model_relation: quantized
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---
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# FLUX.1-schnell-int4-ov
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* Model creator: [Black Forset Labs](https://huggingface.co/black-forest-labs)
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* Original model: [black-forest-labs/FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell)
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## Description
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This is [black-forest-labs/FLUX.1-schnell](https://huggingface.co/black-forest-labs/FLUX.1-schnell) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8 by [NNCF](https://github.com/openvinotoolkit/nncf).
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## Quantization Parameters
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Weight compression was performed using `nncf.compress_weights` with the following parameters:
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* mode: **INT4_ASYM**
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* ratio: **1.0**
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* group_size: **64**
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For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
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## Compatibility
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The provided OpenVINO™ IR model is compatible with:
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* OpenVINO version 2025.0.0 and higher
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* Optimum Intel 1.22.0 and higher
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## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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```
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pip install optimum[openvino]
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```
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2. Run model inference:
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```
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from optimum.intel.openvino import OVDiffusionPipeline
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model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
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pipeline = OVDiffusionPipeline.from_pretrained(model_id)
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prompt = "A cat holding a sign that says hello world"
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images = pipeline(prompt, guidance_scale=0.0, num_inference_steps=4).images
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```
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## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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1. Install packages required for using OpenVINO GenAI.
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```
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pip install huggingface_hub
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pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/nightly openvino openvino-tokenizers openvino-genai
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```
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2. Download model from HuggingFace Hub
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```
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import huggingface_hub as hf_hub
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model_id = "OpenVINO/FLUX.1-schnell-int4-ov"
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model_path = "FLUX.1-schnell-int4-ov"
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hf_hub.snapshot_download(model_id, local_dir=model_path)
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```
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3. Run model inference:
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```
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import openvino_genai as ov_genai
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from PIL import Image
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device = "CPU"
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pipe = ov_genai.Text2ImagePipeline(model_path, device)
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prompt = "A cat holding a sign that says hello world"
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image_tensor = pipe.generate(prompt, guidance_scale=0.0, num_inference_steps=4)
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image = Image.fromarray(image_tensor.data[0])
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```
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More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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## Limitations
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Check the original [model card](https://huggingface.co/black-forest-labs/FLUX.1-schnell) for limitations.
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## Legal information
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The original model is distributed under [Apache 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md) license. More details can be found in [model card](https://huggingface.co/black-forest-labs/FLUX.1-schnell).
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## Disclaimer
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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model_index.json
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{
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"_class_name": "FluxPipeline",
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"_diffusers_version": "0.32.1",
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"_name_or_path": "black-forest-labs/FLUX.1-schnell",
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"feature_extractor": [
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null,
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],
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"image_encoder": [
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null,
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],
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModel"
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],
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"text_encoder_2": [
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"transformers",
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"T5EncoderModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_2": [
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"transformers",
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"T5TokenizerFast"
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],
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"transformer": [
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"diffusers",
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"FluxTransformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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scheduler/scheduler_config.json
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{
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"_class_name": "FlowMatchEulerDiscreteScheduler",
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"_diffusers_version": "0.32.1",
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"base_image_seq_len": 256,
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"base_shift": 0.5,
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"invert_sigmas": false,
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"max_image_seq_len": 4096,
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"max_shift": 1.15,
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"num_train_timesteps": 1000,
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"shift": 1.0,
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"shift_terminal": null,
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"use_beta_sigmas": false,
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"use_dynamic_shifting": false,
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"use_exponential_sigmas": false,
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"use_karras_sigmas": false
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}
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text_encoder/config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/home/ea/.cache/huggingface/hub/models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/text_encoder",
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"architectures": [
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"CLIPTextModel"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 0,
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"dropout": 0.0,
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"eos_token_id": 2,
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"hidden_act": "quick_gelu",
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"hidden_size": 768,
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"initializer_factor": 1.0,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 77,
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"model_type": "clip_text_model",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"projection_dim": 768,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.3",
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"vocab_size": 49408
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}
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text_encoder/openvino_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c48af9b393fb33943a6ade4a8b57935c95c92ccfaeec72ccf16f73da7020c12
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size 85348131
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text_encoder/openvino_model.xml
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text_encoder_2/config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "/home/ea/.cache/huggingface/hub/models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/text_encoder_2",
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"architectures": [
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"T5EncoderModel"
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],
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"classifier_dropout": 0.0,
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"d_ff": 10240,
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"d_kv": 64,
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"d_model": 4096,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"num_decoder_layers": 24,
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"num_heads": 64,
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"num_layers": 24,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.3",
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"use_cache": true,
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"vocab_size": 32128
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}
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text_encoder_2/openvino_model.bin
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| 3 |
+
size 2647978472
|
text_encoder_2/openvino_model.xml
ADDED
|
The diff for this file is too large to render.
See raw diff
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|
tokenizer/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
tokenizer/openvino_detokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:939b592bdf37c0ce490442b93454f8c4c135fd879f67dce7736acaaf963771b6
|
| 3 |
+
size 616799
|
tokenizer/openvino_detokenizer.xml
ADDED
|
@@ -0,0 +1,440 @@
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|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="detokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_229464" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_229464">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Convert_229495" type="Convert" version="opset1">
|
| 14 |
+
<data destination_type="i32" />
|
| 15 |
+
<input>
|
| 16 |
+
<port id="0" precision="I64">
|
| 17 |
+
<dim>-1</dim>
|
| 18 |
+
<dim>-1</dim>
|
| 19 |
+
</port>
|
| 20 |
+
</input>
|
| 21 |
+
<output>
|
| 22 |
+
<port id="1" precision="I32">
|
| 23 |
+
<dim>-1</dim>
|
| 24 |
+
<dim>-1</dim>
|
| 25 |
+
</port>
|
| 26 |
+
</output>
|
| 27 |
+
</layer>
|
| 28 |
+
<layer id="2" name="Constant_229428" type="Const" version="opset1">
|
| 29 |
+
<data element_type="u8" shape="616710" offset="0" size="616710" />
|
| 30 |
+
<output>
|
| 31 |
+
<port id="0" precision="U8">
|
| 32 |
+
<dim>616710</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</output>
|
| 35 |
+
</layer>
|
| 36 |
+
<layer id="3" name="StringTensorUnpack_229429" type="StringTensorUnpack" version="extension">
|
| 37 |
+
<data mode="begins_ends" />
|
| 38 |
+
<input>
|
| 39 |
+
<port id="0" precision="U8">
|
| 40 |
+
<dim>616710</dim>
|
| 41 |
+
</port>
|
| 42 |
+
</input>
|
| 43 |
+
<output>
|
| 44 |
+
<port id="1" precision="I32">
|
| 45 |
+
<dim>-1</dim>
|
| 46 |
+
</port>
|
| 47 |
+
<port id="2" precision="I32">
|
| 48 |
+
<dim>-1</dim>
|
| 49 |
+
</port>
|
| 50 |
+
<port id="3" precision="U8">
|
| 51 |
+
<dim>-1</dim>
|
| 52 |
+
</port>
|
| 53 |
+
</output>
|
| 54 |
+
</layer>
|
| 55 |
+
<layer id="4" name="Constant_229468" type="Const" version="opset1">
|
| 56 |
+
<data element_type="i32" shape="2" offset="616710" size="8" />
|
| 57 |
+
<output>
|
| 58 |
+
<port id="0" precision="I32">
|
| 59 |
+
<dim>2</dim>
|
| 60 |
+
</port>
|
| 61 |
+
</output>
|
| 62 |
+
</layer>
|
| 63 |
+
<layer id="5" name="Constant_229466" type="Const" version="opset1">
|
| 64 |
+
<data element_type="i32" shape="1" offset="616718" size="4" />
|
| 65 |
+
<output>
|
| 66 |
+
<port id="0" precision="I32">
|
| 67 |
+
<dim>1</dim>
|
| 68 |
+
</port>
|
| 69 |
+
</output>
|
| 70 |
+
</layer>
|
| 71 |
+
<layer id="6" name="Constant_229465" type="Const" version="opset1">
|
| 72 |
+
<data element_type="i32" shape="1" offset="616722" size="4" />
|
| 73 |
+
<output>
|
| 74 |
+
<port id="0" precision="I32">
|
| 75 |
+
<dim>1</dim>
|
| 76 |
+
</port>
|
| 77 |
+
</output>
|
| 78 |
+
</layer>
|
| 79 |
+
<layer id="7" name="Constant_229467" type="Const" version="opset1">
|
| 80 |
+
<data element_type="i32" shape="1" offset="616726" size="4" />
|
| 81 |
+
<output>
|
| 82 |
+
<port id="0" precision="I32">
|
| 83 |
+
<dim>1</dim>
|
| 84 |
+
</port>
|
| 85 |
+
</output>
|
| 86 |
+
</layer>
|
| 87 |
+
<layer id="8" name="Constant_229470" type="Const" version="opset1">
|
| 88 |
+
<data element_type="i64" shape="1" offset="616730" size="8" />
|
| 89 |
+
<output>
|
| 90 |
+
<port id="0" precision="I64">
|
| 91 |
+
<dim>1</dim>
|
| 92 |
+
</port>
|
| 93 |
+
</output>
|
| 94 |
+
</layer>
|
| 95 |
+
<layer id="9" name="Slice_229469" type="Slice" version="opset8">
|
| 96 |
+
<input>
|
| 97 |
+
<port id="0" precision="I32">
|
| 98 |
+
<dim>2</dim>
|
| 99 |
+
</port>
|
| 100 |
+
<port id="1" precision="I32">
|
| 101 |
+
<dim>1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
<port id="2" precision="I32">
|
| 104 |
+
<dim>1</dim>
|
| 105 |
+
</port>
|
| 106 |
+
<port id="3" precision="I32">
|
| 107 |
+
<dim>1</dim>
|
| 108 |
+
</port>
|
| 109 |
+
<port id="4" precision="I64">
|
| 110 |
+
<dim>1</dim>
|
| 111 |
+
</port>
|
| 112 |
+
</input>
|
| 113 |
+
<output>
|
| 114 |
+
<port id="5" precision="I32">
|
| 115 |
+
<dim>2</dim>
|
| 116 |
+
</port>
|
| 117 |
+
</output>
|
| 118 |
+
</layer>
|
| 119 |
+
<layer id="10" name="VocabDecoder_229471" type="VocabDecoder" version="extension">
|
| 120 |
+
<data skip_tokens="" />
|
| 121 |
+
<input>
|
| 122 |
+
<port id="0" precision="I32">
|
| 123 |
+
<dim>-1</dim>
|
| 124 |
+
<dim>-1</dim>
|
| 125 |
+
</port>
|
| 126 |
+
<port id="1" precision="I32">
|
| 127 |
+
<dim>-1</dim>
|
| 128 |
+
</port>
|
| 129 |
+
<port id="2" precision="I32">
|
| 130 |
+
<dim>-1</dim>
|
| 131 |
+
</port>
|
| 132 |
+
<port id="3" precision="U8">
|
| 133 |
+
<dim>-1</dim>
|
| 134 |
+
</port>
|
| 135 |
+
<port id="4" precision="I32">
|
| 136 |
+
<dim>2</dim>
|
| 137 |
+
</port>
|
| 138 |
+
</input>
|
| 139 |
+
<output>
|
| 140 |
+
<port id="5" precision="I32">
|
| 141 |
+
<dim>-1</dim>
|
| 142 |
+
</port>
|
| 143 |
+
<port id="6" precision="I32">
|
| 144 |
+
<dim>-1</dim>
|
| 145 |
+
</port>
|
| 146 |
+
<port id="7" precision="I32">
|
| 147 |
+
<dim>-1</dim>
|
| 148 |
+
</port>
|
| 149 |
+
<port id="8" precision="I32">
|
| 150 |
+
<dim>-1</dim>
|
| 151 |
+
</port>
|
| 152 |
+
<port id="9" precision="U8">
|
| 153 |
+
<dim>-1</dim>
|
| 154 |
+
</port>
|
| 155 |
+
</output>
|
| 156 |
+
</layer>
|
| 157 |
+
<layer id="11" name="FuzeRagged_229472" type="FuzeRagged" version="extension">
|
| 158 |
+
<input>
|
| 159 |
+
<port id="0" precision="I32">
|
| 160 |
+
<dim>-1</dim>
|
| 161 |
+
</port>
|
| 162 |
+
<port id="1" precision="I32">
|
| 163 |
+
<dim>-1</dim>
|
| 164 |
+
</port>
|
| 165 |
+
<port id="2" precision="I32">
|
| 166 |
+
<dim>-1</dim>
|
| 167 |
+
</port>
|
| 168 |
+
<port id="3" precision="I32">
|
| 169 |
+
<dim>-1</dim>
|
| 170 |
+
</port>
|
| 171 |
+
</input>
|
| 172 |
+
<output>
|
| 173 |
+
<port id="4" precision="I32">
|
| 174 |
+
<dim>-1</dim>
|
| 175 |
+
</port>
|
| 176 |
+
<port id="5" precision="I32">
|
| 177 |
+
<dim>-1</dim>
|
| 178 |
+
</port>
|
| 179 |
+
</output>
|
| 180 |
+
</layer>
|
| 181 |
+
<layer id="12" name="UTF8Validate_229473" type="UTF8Validate" version="extension">
|
| 182 |
+
<data replace_mode="true" />
|
| 183 |
+
<input>
|
| 184 |
+
<port id="0" precision="I32">
|
| 185 |
+
<dim>-1</dim>
|
| 186 |
+
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|
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|
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|
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|
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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| 198 |
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|
| 199 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 270 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 319 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 335 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 414 |
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|
| 415 |
+
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|
| 416 |
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|
| 417 |
+
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|
| 418 |
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<bos_token_id value="49406" />
|
| 419 |
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|
| 420 |
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<detokenizer_input_type value="i64" />
|
| 421 |
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|
| 422 |
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<handle_special_tokens_with_re />
|
| 423 |
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<number_of_inputs value="1" />
|
| 424 |
+
<openvino_tokenizers_version value="2025.0.0.0" />
|
| 425 |
+
<openvino_version value="2025.0.0" />
|
| 426 |
+
<original_tokenizer_class value="<class 'transformers.models.clip.tokenization_clip_fast.CLIPTokenizerFast'>" />
|
| 427 |
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|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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|
| 432 |
+
<tokenizer_output_type value="i64" />
|
| 433 |
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<tokenizers_version value="0.21.0" />
|
| 434 |
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|
| 435 |
+
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|
| 436 |
+
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|
| 437 |
+
<utf8_replace_mode value="replace" />
|
| 438 |
+
<with_detokenizer value="True" />
|
| 439 |
+
</rt_info>
|
| 440 |
+
</net>
|
tokenizer/openvino_tokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:653d6f2b0bbd68ae2f888cf7fb68585f860dbd6cd28b74abd375daa6a255adfa
|
| 3 |
+
size 1425650
|
tokenizer/openvino_tokenizer.xml
ADDED
|
@@ -0,0 +1,995 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
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|
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|
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|
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|
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|
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|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_229337" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="Parameter_229337">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_229445" type="Const" version="opset1">
|
| 13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 14 |
+
<output>
|
| 15 |
+
<port id="0" precision="I32" />
|
| 16 |
+
</output>
|
| 17 |
+
</layer>
|
| 18 |
+
<layer id="2" name="Constant_229446" type="Const" version="opset1">
|
| 19 |
+
<data element_type="i32" shape="" offset="4" size="4" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="I32" />
|
| 22 |
+
</output>
|
| 23 |
+
</layer>
|
| 24 |
+
<layer id="3" name="Constant_229447" type="Const" version="opset1">
|
| 25 |
+
<data element_type="i32" shape="1" offset="8" size="4" />
|
| 26 |
+
<output>
|
| 27 |
+
<port id="0" precision="I32">
|
| 28 |
+
<dim>1</dim>
|
| 29 |
+
</port>
|
| 30 |
+
</output>
|
| 31 |
+
</layer>
|
| 32 |
+
<layer id="4" name="Constant_229343" type="Const" version="opset1">
|
| 33 |
+
<data element_type="i64" shape="" offset="12" size="8" />
|
| 34 |
+
<output>
|
| 35 |
+
<port id="0" precision="I64" />
|
| 36 |
+
</output>
|
| 37 |
+
</layer>
|
| 38 |
+
<layer id="5" name="StringTensorUnpack_229338" type="StringTensorUnpack" version="extension">
|
| 39 |
+
<data mode="begins_ends" />
|
| 40 |
+
<input>
|
| 41 |
+
<port id="0" precision="STRING">
|
| 42 |
+
<dim>-1</dim>
|
| 43 |
+
</port>
|
| 44 |
+
</input>
|
| 45 |
+
<output>
|
| 46 |
+
<port id="1" precision="I32">
|
| 47 |
+
<dim>-1</dim>
|
| 48 |
+
</port>
|
| 49 |
+
<port id="2" precision="I32">
|
| 50 |
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<dim>-1</dim>
|
| 51 |
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</port>
|
| 52 |
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<port id="3" precision="U8">
|
| 53 |
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<dim>-1</dim>
|
| 54 |
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</port>
|
| 55 |
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</output>
|
| 56 |
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</layer>
|
| 57 |
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<layer id="6" name="ShapeOf_229339" type="ShapeOf" version="opset3">
|
| 58 |
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<data output_type="i64" />
|
| 59 |
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<input>
|
| 60 |
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<port id="0" precision="I32">
|
| 61 |
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<dim>-1</dim>
|
| 62 |
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</port>
|
| 63 |
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|
| 64 |
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<output>
|
| 65 |
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<port id="1" precision="I64">
|
| 66 |
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<dim>1</dim>
|
| 67 |
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</port>
|
| 68 |
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</output>
|
| 69 |
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</layer>
|
| 70 |
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<layer id="7" name="Constant_229340" type="Const" version="opset1">
|
| 71 |
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<data element_type="i64" shape="" offset="12" size="8" />
|
| 72 |
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<output>
|
| 73 |
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<port id="0" precision="I64" />
|
| 74 |
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</output>
|
| 75 |
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|
| 76 |
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<layer id="8" name="Constant_229341" type="Const" version="opset1">
|
| 77 |
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<data element_type="i64" shape="" offset="12" size="8" />
|
| 78 |
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<output>
|
| 79 |
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<port id="0" precision="I64" />
|
| 80 |
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</output>
|
| 81 |
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</layer>
|
| 82 |
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<layer id="9" name="Gather_229342" type="Gather" version="opset8">
|
| 83 |
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<data batch_dims="0" />
|
| 84 |
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<input>
|
| 85 |
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<port id="0" precision="I64">
|
| 86 |
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<dim>1</dim>
|
| 87 |
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</port>
|
| 88 |
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<port id="1" precision="I64" />
|
| 89 |
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<port id="2" precision="I64" />
|
| 90 |
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|
| 91 |
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<output>
|
| 92 |
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<port id="3" precision="I64" />
|
| 93 |
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|
| 94 |
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|
| 95 |
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<layer id="10" name="Constant_229344" type="Const" version="opset1">
|
| 96 |
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<data element_type="i64" shape="" offset="20" size="8" />
|
| 97 |
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<output>
|
| 98 |
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<port id="0" precision="I64" />
|
| 99 |
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</output>
|
| 100 |
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</layer>
|
| 101 |
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<layer id="11" name="Range_229345" type="Range" version="opset4">
|
| 102 |
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<data output_type="i32" />
|
| 103 |
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<input>
|
| 104 |
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<port id="0" precision="I64" />
|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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<port id="3" precision="I32">
|
| 110 |
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<dim>-1</dim>
|
| 111 |
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</port>
|
| 112 |
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|
| 113 |
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</layer>
|
| 114 |
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|
| 115 |
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<data element_type="i64" shape="" offset="20" size="8" />
|
| 116 |
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<output>
|
| 117 |
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<port id="0" precision="I64" />
|
| 118 |
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|
| 119 |
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</layer>
|
| 120 |
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|
| 121 |
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<data element_type="i64" shape="" offset="20" size="8" />
|
| 122 |
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<output>
|
| 123 |
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<port id="0" precision="I64" />
|
| 124 |
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</output>
|
| 125 |
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</layer>
|
| 126 |
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<layer id="14" name="Add_229348" type="Add" version="opset1">
|
| 127 |
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<data auto_broadcast="numpy" />
|
| 128 |
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<input>
|
| 129 |
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<port id="0" precision="I64" />
|
| 130 |
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|
| 131 |
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|
| 132 |
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<output>
|
| 133 |
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<port id="2" precision="I64" />
|
| 134 |
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</output>
|
| 135 |
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</layer>
|
| 136 |
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<layer id="15" name="Constant_229349" type="Const" version="opset1">
|
| 137 |
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<data element_type="i64" shape="" offset="20" size="8" />
|
| 138 |
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<output>
|
| 139 |
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<port id="0" precision="I64" />
|
| 140 |
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</output>
|
| 141 |
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|
| 142 |
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<layer id="16" name="Range_229350" type="Range" version="opset4">
|
| 143 |
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<data output_type="i32" />
|
| 144 |
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<input>
|
| 145 |
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<port id="0" precision="I64" />
|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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<port id="3" precision="I32">
|
| 151 |
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<dim>-1</dim>
|
| 152 |
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</port>
|
| 153 |
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|
| 154 |
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</layer>
|
| 155 |
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|
| 156 |
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|
| 157 |
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<output>
|
| 158 |
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<port id="0" precision="U8">
|
| 159 |
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<dim>41</dim>
|
| 160 |
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</port>
|
| 161 |
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</output>
|
| 162 |
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</layer>
|
| 163 |
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<layer id="18" name="SpecialTokensSplit_229413" type="SpecialTokensSplit" version="extension">
|
| 164 |
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<input>
|
| 165 |
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<port id="0" precision="I32">
|
| 166 |
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<dim>-1</dim>
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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<dim>-1</dim>
|
| 179 |
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</port>
|
| 180 |
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|
| 181 |
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|
| 182 |
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</port>
|
| 183 |
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|
| 184 |
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<output>
|
| 185 |
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|
| 186 |
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<dim>-1</dim>
|
| 187 |
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|
| 188 |
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|
| 189 |
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<dim>-1</dim>
|
| 190 |
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</port>
|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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<port id="11" precision="BOOL">
|
| 201 |
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<dim>-1</dim>
|
| 202 |
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</port>
|
| 203 |
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</output>
|
| 204 |
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</layer>
|
| 205 |
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<layer id="19" name="NormalizeUnicode_229414" type="NormalizeUnicode" version="extension">
|
| 206 |
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<data normalization_form="NFC" />
|
| 207 |
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<input>
|
| 208 |
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<port id="0" precision="I32">
|
| 209 |
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<dim>-1</dim>
|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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<dim>-1</dim>
|
| 216 |
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|
| 217 |
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|
| 218 |
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<dim>-1</dim>
|
| 219 |
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</port>
|
| 220 |
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|
| 221 |
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<output>
|
| 222 |
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|
| 223 |
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<dim>-1</dim>
|
| 224 |
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|
| 225 |
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|
| 226 |
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<dim>-1</dim>
|
| 227 |
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</port>
|
| 228 |
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|
| 229 |
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<dim>-1</dim>
|
| 230 |
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</port>
|
| 231 |
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<port id="7" precision="BOOL">
|
| 232 |
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<dim>-1</dim>
|
| 233 |
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</port>
|
| 234 |
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</output>
|
| 235 |
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</layer>
|
| 236 |
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|
| 237 |
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|
| 238 |
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<output>
|
| 239 |
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<port id="0" precision="U8">
|
| 240 |
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<dim>3</dim>
|
| 241 |
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</port>
|
| 242 |
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</output>
|
| 243 |
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</layer>
|
| 244 |
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<layer id="21" name="Constant_229418" type="Const" version="opset1">
|
| 245 |
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|
| 246 |
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|
| 247 |
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<port id="0" precision="U8">
|
| 248 |
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<dim>1</dim>
|
| 249 |
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|
| 250 |
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|
| 251 |
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</layer>
|
| 252 |
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<layer id="22" name="RegexNormalization_229419" type="RegexNormalization" version="extension">
|
| 253 |
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<data global_replace="true" />
|
| 254 |
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|
| 255 |
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<port id="0" precision="I32">
|
| 256 |
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<dim>-1</dim>
|
| 257 |
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|
| 258 |
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|
| 259 |
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|
| 260 |
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|
| 261 |
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|
| 262 |
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|
| 263 |
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|
| 264 |
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|
| 265 |
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<dim>-1</dim>
|
| 266 |
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|
| 267 |
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|
| 268 |
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<dim>3</dim>
|
| 269 |
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|
| 270 |
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|
| 271 |
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<dim>1</dim>
|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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|
| 282 |
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|
| 283 |
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|
| 284 |
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|
| 285 |
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<dim>-1</dim>
|
| 286 |
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</port>
|
| 287 |
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</output>
|
| 288 |
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</layer>
|
| 289 |
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<layer id="23" name="CaseFold_229420" type="CaseFold" version="extension">
|
| 290 |
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<data encoding="utf-8" />
|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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|
| 301 |
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|
| 302 |
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<dim>-1</dim>
|
| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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<dim>-1</dim>
|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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<dim>-1</dim>
|
| 317 |
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</port>
|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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<output>
|
| 323 |
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<port id="0" precision="U8">
|
| 324 |
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<dim>57</dim>
|
| 325 |
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|
| 326 |
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</output>
|
| 327 |
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</layer>
|
| 328 |
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<layer id="25" name="RegexSplit_229423" type="RegexSplit" version="extension">
|
| 329 |
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<data behaviour="remove" invert="true" max_splits="-1" />
|
| 330 |
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|
| 331 |
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<port id="0" precision="I32">
|
| 332 |
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<dim>-1</dim>
|
| 333 |
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|
| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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<dim>-1</dim>
|
| 342 |
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|
| 343 |
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|
| 344 |
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<dim>-1</dim>
|
| 345 |
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|
| 346 |
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|
| 347 |
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<dim>-1</dim>
|
| 348 |
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</port>
|
| 349 |
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|
| 350 |
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<dim>57</dim>
|
| 351 |
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|
| 352 |
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|
| 353 |
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<output>
|
| 354 |
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|
| 355 |
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<dim>-1</dim>
|
| 356 |
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|
| 357 |
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|
| 358 |
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|
| 359 |
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|
| 360 |
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|
| 361 |
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|
| 362 |
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|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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|
| 369 |
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|
| 370 |
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<dim>-1</dim>
|
| 371 |
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|
| 372 |
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|
| 373 |
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|
| 374 |
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|
| 375 |
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|
| 376 |
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|
| 377 |
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<port id="0" precision="U8">
|
| 378 |
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<dim>64</dim>
|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
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|
| 384 |
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|
| 385 |
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|
| 386 |
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<dim>-1</dim>
|
| 387 |
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| 388 |
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|
| 389 |
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|
| 390 |
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|
| 391 |
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|
| 392 |
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|
| 393 |
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| 394 |
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|
| 395 |
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|
| 396 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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| 400 |
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|
| 401 |
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<dim>-1</dim>
|
| 402 |
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| 403 |
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|
| 404 |
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<dim>64</dim>
|
| 405 |
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|
| 406 |
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|
| 407 |
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|
| 408 |
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|
| 409 |
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<dim>-1</dim>
|
| 410 |
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| 411 |
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|
| 412 |
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|
| 413 |
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| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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|
| 418 |
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|
| 419 |
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| 420 |
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| 421 |
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|
| 422 |
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| 423 |
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|
| 424 |
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<dim>-1</dim>
|
| 425 |
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|
| 426 |
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|
| 427 |
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|
| 428 |
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|
| 429 |
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| 430 |
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| 431 |
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| 432 |
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|
| 433 |
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| 434 |
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|
| 435 |
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| 436 |
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|
| 437 |
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<data mode="begins_ends" />
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| 438 |
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| 439 |
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| 440 |
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| 441 |
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| 442 |
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| 443 |
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| 716 |
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| 717 |
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| 718 |
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| 721 |
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| 724 |
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| 730 |
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| 733 |
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| 736 |
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| 759 |
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| 760 |
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| 761 |
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| 762 |
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| 763 |
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| 764 |
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| 765 |
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| 766 |
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| 767 |
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| 768 |
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| 769 |
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| 770 |
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| 771 |
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| 775 |
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| 776 |
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| 778 |
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| 779 |
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| 781 |
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| 782 |
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| 783 |
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| 784 |
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| 790 |
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| 791 |
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| 793 |
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| 794 |
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| 798 |
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| 799 |
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| 800 |
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| 802 |
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| 804 |
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| 805 |
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| 807 |
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| 809 |
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| 810 |
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| 811 |
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| 812 |
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| 813 |
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| 817 |
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| 818 |
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| 821 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 978 |
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|
| 979 |
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|
| 980 |
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|
| 981 |
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|
| 982 |
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|
| 983 |
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|
| 984 |
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|
| 985 |
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|
| 986 |
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|
| 987 |
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|
| 988 |
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|
| 989 |
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|
| 990 |
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|
| 991 |
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|
| 992 |
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<utf8_replace_mode value="replace" />
|
| 993 |
+
<with_detokenizer value="True" />
|
| 994 |
+
</rt_info>
|
| 995 |
+
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|
tokenizer/special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|startoftext|>",
|
| 4 |
+
"lstrip": false,
|
| 5 |
+
"normalized": true,
|
| 6 |
+
"rstrip": false,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|endoftext|>",
|
| 11 |
+
"lstrip": false,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": false,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|endoftext|>",
|
| 18 |
+
"lstrip": false,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": false,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "<|endoftext|>",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer/tokenizer_config.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"49406": {
|
| 5 |
+
"content": "<|startoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": true,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"49407": {
|
| 13 |
+
"content": "<|endoftext|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
}
|
| 20 |
+
},
|
| 21 |
+
"bos_token": "<|startoftext|>",
|
| 22 |
+
"clean_up_tokenization_spaces": true,
|
| 23 |
+
"do_lower_case": true,
|
| 24 |
+
"eos_token": "<|endoftext|>",
|
| 25 |
+
"errors": "replace",
|
| 26 |
+
"extra_special_tokens": {},
|
| 27 |
+
"model_max_length": 77,
|
| 28 |
+
"pad_token": "<|endoftext|>",
|
| 29 |
+
"tokenizer_class": "CLIPTokenizer",
|
| 30 |
+
"unk_token": "<|endoftext|>"
|
| 31 |
+
}
|
tokenizer/vocab.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
tokenizer_2/openvino_detokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:ce26701b0bb5f726f5de3d0452b0702d15bc6c946cf21e31c2581cb549ddd11f
|
| 3 |
+
size 794102
|
tokenizer_2/openvino_detokenizer.xml
ADDED
|
@@ -0,0 +1,199 @@
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|
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|
|
|
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|
|
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|
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|
|
|
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|
|
|
|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="detokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="Parameter_229746" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?,?" element_type="i64" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="I64" names="Parameter_229746">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
<dim>-1</dim>
|
| 10 |
+
</port>
|
| 11 |
+
</output>
|
| 12 |
+
</layer>
|
| 13 |
+
<layer id="1" name="Constant_229718" type="Const" version="opset1">
|
| 14 |
+
<data element_type="u8" shape="794049" offset="0" size="794049" />
|
| 15 |
+
<output>
|
| 16 |
+
<port id="0" precision="U8">
|
| 17 |
+
<dim>794049</dim>
|
| 18 |
+
</port>
|
| 19 |
+
</output>
|
| 20 |
+
</layer>
|
| 21 |
+
<layer id="2" name="Convert_229760" type="Convert" version="opset1">
|
| 22 |
+
<data destination_type="i32" />
|
| 23 |
+
<input>
|
| 24 |
+
<port id="0" precision="I64">
|
| 25 |
+
<dim>-1</dim>
|
| 26 |
+
<dim>-1</dim>
|
| 27 |
+
</port>
|
| 28 |
+
</input>
|
| 29 |
+
<output>
|
| 30 |
+
<port id="1" precision="I32">
|
| 31 |
+
<dim>-1</dim>
|
| 32 |
+
<dim>-1</dim>
|
| 33 |
+
</port>
|
| 34 |
+
</output>
|
| 35 |
+
</layer>
|
| 36 |
+
<layer id="3" name="SentencepieceDetokenizer_229747" type="SentencepieceDetokenizer" version="extension">
|
| 37 |
+
<input>
|
| 38 |
+
<port id="0" precision="U8">
|
| 39 |
+
<dim>794049</dim>
|
| 40 |
+
</port>
|
| 41 |
+
<port id="1" precision="I32">
|
| 42 |
+
<dim>-1</dim>
|
| 43 |
+
<dim>-1</dim>
|
| 44 |
+
</port>
|
| 45 |
+
</input>
|
| 46 |
+
<output>
|
| 47 |
+
<port id="2" precision="I32">
|
| 48 |
+
<dim>-1</dim>
|
| 49 |
+
</port>
|
| 50 |
+
<port id="3" precision="I32">
|
| 51 |
+
<dim>-1</dim>
|
| 52 |
+
</port>
|
| 53 |
+
<port id="4" precision="U8">
|
| 54 |
+
<dim>-1</dim>
|
| 55 |
+
</port>
|
| 56 |
+
</output>
|
| 57 |
+
</layer>
|
| 58 |
+
<layer id="4" name="Constant_229749" type="Const" version="opset1">
|
| 59 |
+
<data element_type="u8" shape="51" offset="794049" size="51" />
|
| 60 |
+
<output>
|
| 61 |
+
<port id="0" precision="U8">
|
| 62 |
+
<dim>51</dim>
|
| 63 |
+
</port>
|
| 64 |
+
</output>
|
| 65 |
+
</layer>
|
| 66 |
+
<layer id="5" name="Constant_229751" type="Const" version="opset1">
|
| 67 |
+
<data element_type="u8" shape="2" offset="794100" size="2" />
|
| 68 |
+
<output>
|
| 69 |
+
<port id="0" precision="U8">
|
| 70 |
+
<dim>2</dim>
|
| 71 |
+
</port>
|
| 72 |
+
</output>
|
| 73 |
+
</layer>
|
| 74 |
+
<layer id="6" name="RegexNormalization_229752" type="RegexNormalization" version="extension">
|
| 75 |
+
<data global_replace="true" />
|
| 76 |
+
<input>
|
| 77 |
+
<port id="0" precision="I32">
|
| 78 |
+
<dim>-1</dim>
|
| 79 |
+
</port>
|
| 80 |
+
<port id="1" precision="I32">
|
| 81 |
+
<dim>-1</dim>
|
| 82 |
+
</port>
|
| 83 |
+
<port id="2" precision="U8">
|
| 84 |
+
<dim>-1</dim>
|
| 85 |
+
</port>
|
| 86 |
+
<port id="3" precision="U8">
|
| 87 |
+
<dim>51</dim>
|
| 88 |
+
</port>
|
| 89 |
+
<port id="4" precision="U8">
|
| 90 |
+
<dim>2</dim>
|
| 91 |
+
</port>
|
| 92 |
+
</input>
|
| 93 |
+
<output>
|
| 94 |
+
<port id="5" precision="I32">
|
| 95 |
+
<dim>-1</dim>
|
| 96 |
+
</port>
|
| 97 |
+
<port id="6" precision="I32">
|
| 98 |
+
<dim>-1</dim>
|
| 99 |
+
</port>
|
| 100 |
+
<port id="7" precision="U8">
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
</output>
|
| 104 |
+
</layer>
|
| 105 |
+
<layer id="7" name="UTF8Validate_229753" type="UTF8Validate" version="extension">
|
| 106 |
+
<data replace_mode="true" />
|
| 107 |
+
<input>
|
| 108 |
+
<port id="0" precision="I32">
|
| 109 |
+
<dim>-1</dim>
|
| 110 |
+
</port>
|
| 111 |
+
<port id="1" precision="I32">
|
| 112 |
+
<dim>-1</dim>
|
| 113 |
+
</port>
|
| 114 |
+
<port id="2" precision="U8">
|
| 115 |
+
<dim>-1</dim>
|
| 116 |
+
</port>
|
| 117 |
+
</input>
|
| 118 |
+
<output>
|
| 119 |
+
<port id="3" precision="I32">
|
| 120 |
+
<dim>-1</dim>
|
| 121 |
+
</port>
|
| 122 |
+
<port id="4" precision="I32">
|
| 123 |
+
<dim>-1</dim>
|
| 124 |
+
</port>
|
| 125 |
+
<port id="5" precision="U8">
|
| 126 |
+
<dim>-1</dim>
|
| 127 |
+
</port>
|
| 128 |
+
</output>
|
| 129 |
+
</layer>
|
| 130 |
+
<layer id="8" name="StringTensorPack_229754" type="StringTensorPack" version="extension">
|
| 131 |
+
<data mode="begins_ends" />
|
| 132 |
+
<input>
|
| 133 |
+
<port id="0" precision="I32">
|
| 134 |
+
<dim>-1</dim>
|
| 135 |
+
</port>
|
| 136 |
+
<port id="1" precision="I32">
|
| 137 |
+
<dim>-1</dim>
|
| 138 |
+
</port>
|
| 139 |
+
<port id="2" precision="U8">
|
| 140 |
+
<dim>-1</dim>
|
| 141 |
+
</port>
|
| 142 |
+
</input>
|
| 143 |
+
<output>
|
| 144 |
+
<port id="3" precision="STRING" names="string_output">
|
| 145 |
+
<dim>-1</dim>
|
| 146 |
+
</port>
|
| 147 |
+
</output>
|
| 148 |
+
</layer>
|
| 149 |
+
<layer id="9" name="Result_229755" type="Result" version="opset1">
|
| 150 |
+
<input>
|
| 151 |
+
<port id="0" precision="STRING">
|
| 152 |
+
<dim>-1</dim>
|
| 153 |
+
</port>
|
| 154 |
+
</input>
|
| 155 |
+
</layer>
|
| 156 |
+
</layers>
|
| 157 |
+
<edges>
|
| 158 |
+
<edge from-layer="0" from-port="0" to-layer="2" to-port="0" />
|
| 159 |
+
<edge from-layer="1" from-port="0" to-layer="3" to-port="0" />
|
| 160 |
+
<edge from-layer="2" from-port="1" to-layer="3" to-port="1" />
|
| 161 |
+
<edge from-layer="3" from-port="2" to-layer="6" to-port="0" />
|
| 162 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="1" />
|
| 163 |
+
<edge from-layer="3" from-port="4" to-layer="6" to-port="2" />
|
| 164 |
+
<edge from-layer="4" from-port="0" to-layer="6" to-port="3" />
|
| 165 |
+
<edge from-layer="5" from-port="0" to-layer="6" to-port="4" />
|
| 166 |
+
<edge from-layer="6" from-port="5" to-layer="7" to-port="0" />
|
| 167 |
+
<edge from-layer="6" from-port="6" to-layer="7" to-port="1" />
|
| 168 |
+
<edge from-layer="6" from-port="7" to-layer="7" to-port="2" />
|
| 169 |
+
<edge from-layer="7" from-port="3" to-layer="8" to-port="0" />
|
| 170 |
+
<edge from-layer="7" from-port="4" to-layer="8" to-port="1" />
|
| 171 |
+
<edge from-layer="7" from-port="5" to-layer="8" to-port="2" />
|
| 172 |
+
<edge from-layer="8" from-port="3" to-layer="9" to-port="0" />
|
| 173 |
+
</edges>
|
| 174 |
+
<rt_info>
|
| 175 |
+
<add_attention_mask value="True" />
|
| 176 |
+
<add_prefix_space value="True" />
|
| 177 |
+
<add_special_tokens value="True" />
|
| 178 |
+
<clean_up_tokenization_spaces value="True" />
|
| 179 |
+
<detokenizer_input_type value="i64" />
|
| 180 |
+
<eos_token_id value="1" />
|
| 181 |
+
<handle_special_tokens_with_re value="False" />
|
| 182 |
+
<number_of_inputs value="1" />
|
| 183 |
+
<openvino_tokenizers_version value="2025.0.0.0" />
|
| 184 |
+
<openvino_version value="2025.0.0" />
|
| 185 |
+
<original_tokenizer_class value="<class 'transformers.models.t5.tokenization_t5_fast.T5TokenizerFast'>" />
|
| 186 |
+
<pad_token_id value="0" />
|
| 187 |
+
<sentencepiece_version value="0.2.0" />
|
| 188 |
+
<skip_special_tokens value="True" />
|
| 189 |
+
<streaming_detokenizer value="False" />
|
| 190 |
+
<tiktoken_version value="0.7.0" />
|
| 191 |
+
<tokenizer_output_type value="i64" />
|
| 192 |
+
<tokenizers_version value="0.21.0" />
|
| 193 |
+
<transformers_version value="4.48.3" />
|
| 194 |
+
<use_max_padding value="False" />
|
| 195 |
+
<use_sentencepiece_backend value="False" />
|
| 196 |
+
<utf8_replace_mode value="replace" />
|
| 197 |
+
<with_detokenizer value="True" />
|
| 198 |
+
</rt_info>
|
| 199 |
+
</net>
|
tokenizer_2/openvino_tokenizer.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d22ae57ee7714eb63fb9bc4f1c982aae44f98a71d1fc0de31a343d57ce4f5184
|
| 3 |
+
size 794089
|
tokenizer_2/openvino_tokenizer.xml
ADDED
|
@@ -0,0 +1,379 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
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|
|
|
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|
|
|
|
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|
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|
|
|
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|
|
|
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|
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|
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|
|
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|
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|
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|
| 1 |
+
<?xml version="1.0"?>
|
| 2 |
+
<net name="tokenizer" version="11">
|
| 3 |
+
<layers>
|
| 4 |
+
<layer id="0" name="string_input" type="Parameter" version="opset1">
|
| 5 |
+
<data shape="?" element_type="string" />
|
| 6 |
+
<output>
|
| 7 |
+
<port id="0" precision="STRING" names="string_input">
|
| 8 |
+
<dim>-1</dim>
|
| 9 |
+
</port>
|
| 10 |
+
</output>
|
| 11 |
+
</layer>
|
| 12 |
+
<layer id="1" name="Constant_229721" type="Const" version="opset1">
|
| 13 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 14 |
+
<output>
|
| 15 |
+
<port id="0" precision="I32" />
|
| 16 |
+
</output>
|
| 17 |
+
</layer>
|
| 18 |
+
<layer id="2" name="Constant_229717" type="Const" version="opset1">
|
| 19 |
+
<data element_type="u8" shape="794049" offset="4" size="794049" />
|
| 20 |
+
<output>
|
| 21 |
+
<port id="0" precision="U8">
|
| 22 |
+
<dim>794049</dim>
|
| 23 |
+
</port>
|
| 24 |
+
</output>
|
| 25 |
+
</layer>
|
| 26 |
+
<layer id="3" name="SentencepieceTokenizer_229720" type="SentencepieceTokenizer" version="extension">
|
| 27 |
+
<data nbest_size="0" alpha="0" add_bos="false" add_eos="true" reverse="false" />
|
| 28 |
+
<input>
|
| 29 |
+
<port id="0" precision="U8">
|
| 30 |
+
<dim>794049</dim>
|
| 31 |
+
</port>
|
| 32 |
+
<port id="1" precision="STRING">
|
| 33 |
+
<dim>-1</dim>
|
| 34 |
+
</port>
|
| 35 |
+
</input>
|
| 36 |
+
<output>
|
| 37 |
+
<port id="2" precision="I64">
|
| 38 |
+
<dim>-1</dim>
|
| 39 |
+
<dim>2</dim>
|
| 40 |
+
</port>
|
| 41 |
+
<port id="3" precision="I32">
|
| 42 |
+
<dim>-1</dim>
|
| 43 |
+
</port>
|
| 44 |
+
<port id="4" precision="I64">
|
| 45 |
+
<dim>2</dim>
|
| 46 |
+
</port>
|
| 47 |
+
</output>
|
| 48 |
+
</layer>
|
| 49 |
+
<layer id="4" name="Broadcast_229722" type="Broadcast" version="opset3">
|
| 50 |
+
<data mode="numpy" />
|
| 51 |
+
<input>
|
| 52 |
+
<port id="0" precision="I32" />
|
| 53 |
+
<port id="1" precision="I64">
|
| 54 |
+
<dim>2</dim>
|
| 55 |
+
</port>
|
| 56 |
+
</input>
|
| 57 |
+
<output>
|
| 58 |
+
<port id="2" precision="I32">
|
| 59 |
+
<dim>-1</dim>
|
| 60 |
+
<dim>-1</dim>
|
| 61 |
+
</port>
|
| 62 |
+
</output>
|
| 63 |
+
</layer>
|
| 64 |
+
<layer id="5" name="Constant_229723" type="Const" version="opset1">
|
| 65 |
+
<data element_type="i32" shape="" offset="794053" size="4" />
|
| 66 |
+
<output>
|
| 67 |
+
<port id="0" precision="I32" />
|
| 68 |
+
</output>
|
| 69 |
+
</layer>
|
| 70 |
+
<layer id="6" name="ShapeOf_229724" type="ShapeOf" version="opset3">
|
| 71 |
+
<data output_type="i64" />
|
| 72 |
+
<input>
|
| 73 |
+
<port id="0" precision="I32">
|
| 74 |
+
<dim>-1</dim>
|
| 75 |
+
</port>
|
| 76 |
+
</input>
|
| 77 |
+
<output>
|
| 78 |
+
<port id="1" precision="I64">
|
| 79 |
+
<dim>1</dim>
|
| 80 |
+
</port>
|
| 81 |
+
</output>
|
| 82 |
+
</layer>
|
| 83 |
+
<layer id="7" name="Broadcast_229725" type="Broadcast" version="opset3">
|
| 84 |
+
<data mode="numpy" />
|
| 85 |
+
<input>
|
| 86 |
+
<port id="0" precision="I32" />
|
| 87 |
+
<port id="1" precision="I64">
|
| 88 |
+
<dim>1</dim>
|
| 89 |
+
</port>
|
| 90 |
+
</input>
|
| 91 |
+
<output>
|
| 92 |
+
<port id="2" precision="I32">
|
| 93 |
+
<dim>-1</dim>
|
| 94 |
+
</port>
|
| 95 |
+
</output>
|
| 96 |
+
</layer>
|
| 97 |
+
<layer id="8" name="ScatterNDUpdate_229728" type="ScatterNDUpdate" version="opset4">
|
| 98 |
+
<input>
|
| 99 |
+
<port id="0" precision="I32">
|
| 100 |
+
<dim>-1</dim>
|
| 101 |
+
<dim>-1</dim>
|
| 102 |
+
</port>
|
| 103 |
+
<port id="1" precision="I64">
|
| 104 |
+
<dim>-1</dim>
|
| 105 |
+
<dim>2</dim>
|
| 106 |
+
</port>
|
| 107 |
+
<port id="2" precision="I32">
|
| 108 |
+
<dim>-1</dim>
|
| 109 |
+
</port>
|
| 110 |
+
</input>
|
| 111 |
+
<output>
|
| 112 |
+
<port id="3" precision="I32">
|
| 113 |
+
<dim>-1</dim>
|
| 114 |
+
<dim>-1</dim>
|
| 115 |
+
</port>
|
| 116 |
+
</output>
|
| 117 |
+
</layer>
|
| 118 |
+
<layer id="9" name="Constant_229737" type="Const" version="opset1">
|
| 119 |
+
<data element_type="i64" shape="1" offset="794057" size="8" />
|
| 120 |
+
<output>
|
| 121 |
+
<port id="0" precision="I64">
|
| 122 |
+
<dim>1</dim>
|
| 123 |
+
</port>
|
| 124 |
+
</output>
|
| 125 |
+
</layer>
|
| 126 |
+
<layer id="10" name="Constant_229738" type="Const" version="opset1">
|
| 127 |
+
<data element_type="i64" shape="1" offset="794065" size="8" />
|
| 128 |
+
<output>
|
| 129 |
+
<port id="0" precision="I64">
|
| 130 |
+
<dim>1</dim>
|
| 131 |
+
</port>
|
| 132 |
+
</output>
|
| 133 |
+
</layer>
|
| 134 |
+
<layer id="11" name="Constant_229739" type="Const" version="opset1">
|
| 135 |
+
<data element_type="i64" shape="1" offset="794073" size="8" />
|
| 136 |
+
<output>
|
| 137 |
+
<port id="0" precision="I64">
|
| 138 |
+
<dim>1</dim>
|
| 139 |
+
</port>
|
| 140 |
+
</output>
|
| 141 |
+
</layer>
|
| 142 |
+
<layer id="12" name="Constant_229740" type="Const" version="opset1">
|
| 143 |
+
<data element_type="i64" shape="1" offset="794081" size="8" />
|
| 144 |
+
<output>
|
| 145 |
+
<port id="0" precision="I64">
|
| 146 |
+
<dim>1</dim>
|
| 147 |
+
</port>
|
| 148 |
+
</output>
|
| 149 |
+
</layer>
|
| 150 |
+
<layer id="13" name="Slice_229741" type="Slice" version="opset8">
|
| 151 |
+
<input>
|
| 152 |
+
<port id="0" precision="I32">
|
| 153 |
+
<dim>-1</dim>
|
| 154 |
+
<dim>-1</dim>
|
| 155 |
+
</port>
|
| 156 |
+
<port id="1" precision="I64">
|
| 157 |
+
<dim>1</dim>
|
| 158 |
+
</port>
|
| 159 |
+
<port id="2" precision="I64">
|
| 160 |
+
<dim>1</dim>
|
| 161 |
+
</port>
|
| 162 |
+
<port id="3" precision="I64">
|
| 163 |
+
<dim>1</dim>
|
| 164 |
+
</port>
|
| 165 |
+
<port id="4" precision="I64">
|
| 166 |
+
<dim>1</dim>
|
| 167 |
+
</port>
|
| 168 |
+
</input>
|
| 169 |
+
<output>
|
| 170 |
+
<port id="5" precision="I32">
|
| 171 |
+
<dim>-1</dim>
|
| 172 |
+
<dim>-1</dim>
|
| 173 |
+
</port>
|
| 174 |
+
</output>
|
| 175 |
+
</layer>
|
| 176 |
+
<layer id="14" name="Slice_229741.0" type="Convert" version="opset1">
|
| 177 |
+
<data destination_type="i64" />
|
| 178 |
+
<input>
|
| 179 |
+
<port id="0" precision="I32">
|
| 180 |
+
<dim>-1</dim>
|
| 181 |
+
<dim>-1</dim>
|
| 182 |
+
</port>
|
| 183 |
+
</input>
|
| 184 |
+
<output>
|
| 185 |
+
<port id="1" precision="I64" names="attention_mask">
|
| 186 |
+
<dim>-1</dim>
|
| 187 |
+
<dim>-1</dim>
|
| 188 |
+
</port>
|
| 189 |
+
</output>
|
| 190 |
+
</layer>
|
| 191 |
+
<layer id="16" name="Constant_229729" type="Const" version="opset1">
|
| 192 |
+
<data element_type="i32" shape="" offset="0" size="4" />
|
| 193 |
+
<output>
|
| 194 |
+
<port id="0" precision="I32" />
|
| 195 |
+
</output>
|
| 196 |
+
</layer>
|
| 197 |
+
<layer id="17" name="Broadcast_229730" type="Broadcast" version="opset3">
|
| 198 |
+
<data mode="bidirectional" />
|
| 199 |
+
<input>
|
| 200 |
+
<port id="0" precision="I32" />
|
| 201 |
+
<port id="1" precision="I64">
|
| 202 |
+
<dim>2</dim>
|
| 203 |
+
</port>
|
| 204 |
+
</input>
|
| 205 |
+
<output>
|
| 206 |
+
<port id="2" precision="I32">
|
| 207 |
+
<dim>-1</dim>
|
| 208 |
+
<dim>-1</dim>
|
| 209 |
+
</port>
|
| 210 |
+
</output>
|
| 211 |
+
</layer>
|
| 212 |
+
<layer id="18" name="ScatterNDUpdate_229731" type="ScatterNDUpdate" version="opset4">
|
| 213 |
+
<input>
|
| 214 |
+
<port id="0" precision="I32">
|
| 215 |
+
<dim>-1</dim>
|
| 216 |
+
<dim>-1</dim>
|
| 217 |
+
</port>
|
| 218 |
+
<port id="1" precision="I64">
|
| 219 |
+
<dim>-1</dim>
|
| 220 |
+
<dim>2</dim>
|
| 221 |
+
</port>
|
| 222 |
+
<port id="2" precision="I32">
|
| 223 |
+
<dim>-1</dim>
|
| 224 |
+
</port>
|
| 225 |
+
</input>
|
| 226 |
+
<output>
|
| 227 |
+
<port id="3" precision="I32">
|
| 228 |
+
<dim>-1</dim>
|
| 229 |
+
<dim>-1</dim>
|
| 230 |
+
</port>
|
| 231 |
+
</output>
|
| 232 |
+
</layer>
|
| 233 |
+
<layer id="19" name="Constant_229732" type="Const" version="opset1">
|
| 234 |
+
<data element_type="i64" shape="1" offset="794057" size="8" />
|
| 235 |
+
<output>
|
| 236 |
+
<port id="0" precision="I64">
|
| 237 |
+
<dim>1</dim>
|
| 238 |
+
</port>
|
| 239 |
+
</output>
|
| 240 |
+
</layer>
|
| 241 |
+
<layer id="20" name="Constant_229733" type="Const" version="opset1">
|
| 242 |
+
<data element_type="i64" shape="1" offset="794065" size="8" />
|
| 243 |
+
<output>
|
| 244 |
+
<port id="0" precision="I64">
|
| 245 |
+
<dim>1</dim>
|
| 246 |
+
</port>
|
| 247 |
+
</output>
|
| 248 |
+
</layer>
|
| 249 |
+
<layer id="21" name="Constant_229734" type="Const" version="opset1">
|
| 250 |
+
<data element_type="i64" shape="1" offset="794073" size="8" />
|
| 251 |
+
<output>
|
| 252 |
+
<port id="0" precision="I64">
|
| 253 |
+
<dim>1</dim>
|
| 254 |
+
</port>
|
| 255 |
+
</output>
|
| 256 |
+
</layer>
|
| 257 |
+
<layer id="22" name="Constant_229735" type="Const" version="opset1">
|
| 258 |
+
<data element_type="i64" shape="1" offset="794081" size="8" />
|
| 259 |
+
<output>
|
| 260 |
+
<port id="0" precision="I64">
|
| 261 |
+
<dim>1</dim>
|
| 262 |
+
</port>
|
| 263 |
+
</output>
|
| 264 |
+
</layer>
|
| 265 |
+
<layer id="23" name="Slice_229736" type="Slice" version="opset8">
|
| 266 |
+
<input>
|
| 267 |
+
<port id="0" precision="I32">
|
| 268 |
+
<dim>-1</dim>
|
| 269 |
+
<dim>-1</dim>
|
| 270 |
+
</port>
|
| 271 |
+
<port id="1" precision="I64">
|
| 272 |
+
<dim>1</dim>
|
| 273 |
+
</port>
|
| 274 |
+
<port id="2" precision="I64">
|
| 275 |
+
<dim>1</dim>
|
| 276 |
+
</port>
|
| 277 |
+
<port id="3" precision="I64">
|
| 278 |
+
<dim>1</dim>
|
| 279 |
+
</port>
|
| 280 |
+
<port id="4" precision="I64">
|
| 281 |
+
<dim>1</dim>
|
| 282 |
+
</port>
|
| 283 |
+
</input>
|
| 284 |
+
<output>
|
| 285 |
+
<port id="5" precision="I32">
|
| 286 |
+
<dim>-1</dim>
|
| 287 |
+
<dim>-1</dim>
|
| 288 |
+
</port>
|
| 289 |
+
</output>
|
| 290 |
+
</layer>
|
| 291 |
+
<layer id="24" name="Slice_229736.0" type="Convert" version="opset1">
|
| 292 |
+
<data destination_type="i64" />
|
| 293 |
+
<input>
|
| 294 |
+
<port id="0" precision="I32">
|
| 295 |
+
<dim>-1</dim>
|
| 296 |
+
<dim>-1</dim>
|
| 297 |
+
</port>
|
| 298 |
+
</input>
|
| 299 |
+
<output>
|
| 300 |
+
<port id="1" precision="I64" names="input_ids">
|
| 301 |
+
<dim>-1</dim>
|
| 302 |
+
<dim>-1</dim>
|
| 303 |
+
</port>
|
| 304 |
+
</output>
|
| 305 |
+
</layer>
|
| 306 |
+
<layer id="25" name="Result_229742" type="Result" version="opset1">
|
| 307 |
+
<input>
|
| 308 |
+
<port id="0" precision="I64">
|
| 309 |
+
<dim>-1</dim>
|
| 310 |
+
<dim>-1</dim>
|
| 311 |
+
</port>
|
| 312 |
+
</input>
|
| 313 |
+
</layer>
|
| 314 |
+
<layer id="15" name="Result_229743" type="Result" version="opset1">
|
| 315 |
+
<input>
|
| 316 |
+
<port id="0" precision="I64">
|
| 317 |
+
<dim>-1</dim>
|
| 318 |
+
<dim>-1</dim>
|
| 319 |
+
</port>
|
| 320 |
+
</input>
|
| 321 |
+
</layer>
|
| 322 |
+
</layers>
|
| 323 |
+
<edges>
|
| 324 |
+
<edge from-layer="0" from-port="0" to-layer="3" to-port="1" />
|
| 325 |
+
<edge from-layer="1" from-port="0" to-layer="4" to-port="0" />
|
| 326 |
+
<edge from-layer="2" from-port="0" to-layer="3" to-port="0" />
|
| 327 |
+
<edge from-layer="3" from-port="4" to-layer="17" to-port="1" />
|
| 328 |
+
<edge from-layer="3" from-port="2" to-layer="18" to-port="1" />
|
| 329 |
+
<edge from-layer="3" from-port="3" to-layer="18" to-port="2" />
|
| 330 |
+
<edge from-layer="3" from-port="2" to-layer="8" to-port="1" />
|
| 331 |
+
<edge from-layer="3" from-port="3" to-layer="6" to-port="0" />
|
| 332 |
+
<edge from-layer="3" from-port="4" to-layer="4" to-port="1" />
|
| 333 |
+
<edge from-layer="4" from-port="2" to-layer="8" to-port="0" />
|
| 334 |
+
<edge from-layer="5" from-port="0" to-layer="7" to-port="0" />
|
| 335 |
+
<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
|
| 336 |
+
<edge from-layer="7" from-port="2" to-layer="8" to-port="2" />
|
| 337 |
+
<edge from-layer="8" from-port="3" to-layer="13" to-port="0" />
|
| 338 |
+
<edge from-layer="9" from-port="0" to-layer="13" to-port="1" />
|
| 339 |
+
<edge from-layer="10" from-port="0" to-layer="13" to-port="2" />
|
| 340 |
+
<edge from-layer="11" from-port="0" to-layer="13" to-port="3" />
|
| 341 |
+
<edge from-layer="12" from-port="0" to-layer="13" to-port="4" />
|
| 342 |
+
<edge from-layer="13" from-port="5" to-layer="14" to-port="0" />
|
| 343 |
+
<edge from-layer="14" from-port="1" to-layer="15" to-port="0" />
|
| 344 |
+
<edge from-layer="16" from-port="0" to-layer="17" to-port="0" />
|
| 345 |
+
<edge from-layer="17" from-port="2" to-layer="18" to-port="0" />
|
| 346 |
+
<edge from-layer="18" from-port="3" to-layer="23" to-port="0" />
|
| 347 |
+
<edge from-layer="19" from-port="0" to-layer="23" to-port="1" />
|
| 348 |
+
<edge from-layer="20" from-port="0" to-layer="23" to-port="2" />
|
| 349 |
+
<edge from-layer="21" from-port="0" to-layer="23" to-port="3" />
|
| 350 |
+
<edge from-layer="22" from-port="0" to-layer="23" to-port="4" />
|
| 351 |
+
<edge from-layer="23" from-port="5" to-layer="24" to-port="0" />
|
| 352 |
+
<edge from-layer="24" from-port="1" to-layer="25" to-port="0" />
|
| 353 |
+
</edges>
|
| 354 |
+
<rt_info>
|
| 355 |
+
<add_attention_mask value="True" />
|
| 356 |
+
<add_prefix_space value="True" />
|
| 357 |
+
<add_special_tokens value="True" />
|
| 358 |
+
<clean_up_tokenization_spaces value="True" />
|
| 359 |
+
<detokenizer_input_type value="i64" />
|
| 360 |
+
<eos_token_id value="1" />
|
| 361 |
+
<handle_special_tokens_with_re value="False" />
|
| 362 |
+
<number_of_inputs value="1" />
|
| 363 |
+
<openvino_tokenizers_version value="2025.0.0.0" />
|
| 364 |
+
<openvino_version value="2025.0.0" />
|
| 365 |
+
<original_tokenizer_class value="<class 'transformers.models.t5.tokenization_t5_fast.T5TokenizerFast'>" />
|
| 366 |
+
<pad_token_id value="0" />
|
| 367 |
+
<sentencepiece_version value="0.2.0" />
|
| 368 |
+
<skip_special_tokens value="True" />
|
| 369 |
+
<streaming_detokenizer value="False" />
|
| 370 |
+
<tiktoken_version value="0.7.0" />
|
| 371 |
+
<tokenizer_output_type value="i64" />
|
| 372 |
+
<tokenizers_version value="0.21.0" />
|
| 373 |
+
<transformers_version value="4.48.3" />
|
| 374 |
+
<use_max_padding value="False" />
|
| 375 |
+
<use_sentencepiece_backend value="False" />
|
| 376 |
+
<utf8_replace_mode value="replace" />
|
| 377 |
+
<with_detokenizer value="True" />
|
| 378 |
+
</rt_info>
|
| 379 |
+
</net>
|
tokenizer_2/special_tokens_map.json
ADDED
|
@@ -0,0 +1,125 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<extra_id_0>",
|
| 4 |
+
"<extra_id_1>",
|
| 5 |
+
"<extra_id_2>",
|
| 6 |
+
"<extra_id_3>",
|
| 7 |
+
"<extra_id_4>",
|
| 8 |
+
"<extra_id_5>",
|
| 9 |
+
"<extra_id_6>",
|
| 10 |
+
"<extra_id_7>",
|
| 11 |
+
"<extra_id_8>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
tokenizer_2/spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer_2/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_2/tokenizer_config.json
ADDED
|
@@ -0,0 +1,941 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
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|
|
|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 5 |
+
"content": "<pad>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"2": {
|
| 21 |
+
"content": "<unk>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"32000": {
|
| 29 |
+
"content": "<extra_id_99>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"32001": {
|
| 37 |
+
"content": "<extra_id_98>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"32002": {
|
| 45 |
+
"content": "<extra_id_97>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"32003": {
|
| 53 |
+
"content": "<extra_id_96>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"32004": {
|
| 61 |
+
"content": "<extra_id_95>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"32005": {
|
| 69 |
+
"content": "<extra_id_94>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"32006": {
|
| 77 |
+
"content": "<extra_id_93>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"32007": {
|
| 85 |
+
"content": "<extra_id_92>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"32008": {
|
| 93 |
+
"content": "<extra_id_91>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"32009": {
|
| 101 |
+
"content": "<extra_id_90>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"32010": {
|
| 109 |
+
"content": "<extra_id_89>",
|
| 110 |
+
"lstrip": false,
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| 550 |
+
"lstrip": false,
|
| 551 |
+
"normalized": false,
|
| 552 |
+
"rstrip": false,
|
| 553 |
+
"single_word": false,
|
| 554 |
+
"special": true
|
| 555 |
+
},
|
| 556 |
+
"32066": {
|
| 557 |
+
"content": "<extra_id_33>",
|
| 558 |
+
"lstrip": false,
|
| 559 |
+
"normalized": false,
|
| 560 |
+
"rstrip": false,
|
| 561 |
+
"single_word": false,
|
| 562 |
+
"special": true
|
| 563 |
+
},
|
| 564 |
+
"32067": {
|
| 565 |
+
"content": "<extra_id_32>",
|
| 566 |
+
"lstrip": false,
|
| 567 |
+
"normalized": false,
|
| 568 |
+
"rstrip": false,
|
| 569 |
+
"single_word": false,
|
| 570 |
+
"special": true
|
| 571 |
+
},
|
| 572 |
+
"32068": {
|
| 573 |
+
"content": "<extra_id_31>",
|
| 574 |
+
"lstrip": false,
|
| 575 |
+
"normalized": false,
|
| 576 |
+
"rstrip": false,
|
| 577 |
+
"single_word": false,
|
| 578 |
+
"special": true
|
| 579 |
+
},
|
| 580 |
+
"32069": {
|
| 581 |
+
"content": "<extra_id_30>",
|
| 582 |
+
"lstrip": false,
|
| 583 |
+
"normalized": false,
|
| 584 |
+
"rstrip": false,
|
| 585 |
+
"single_word": false,
|
| 586 |
+
"special": true
|
| 587 |
+
},
|
| 588 |
+
"32070": {
|
| 589 |
+
"content": "<extra_id_29>",
|
| 590 |
+
"lstrip": false,
|
| 591 |
+
"normalized": false,
|
| 592 |
+
"rstrip": false,
|
| 593 |
+
"single_word": false,
|
| 594 |
+
"special": true
|
| 595 |
+
},
|
| 596 |
+
"32071": {
|
| 597 |
+
"content": "<extra_id_28>",
|
| 598 |
+
"lstrip": false,
|
| 599 |
+
"normalized": false,
|
| 600 |
+
"rstrip": false,
|
| 601 |
+
"single_word": false,
|
| 602 |
+
"special": true
|
| 603 |
+
},
|
| 604 |
+
"32072": {
|
| 605 |
+
"content": "<extra_id_27>",
|
| 606 |
+
"lstrip": false,
|
| 607 |
+
"normalized": false,
|
| 608 |
+
"rstrip": false,
|
| 609 |
+
"single_word": false,
|
| 610 |
+
"special": true
|
| 611 |
+
},
|
| 612 |
+
"32073": {
|
| 613 |
+
"content": "<extra_id_26>",
|
| 614 |
+
"lstrip": false,
|
| 615 |
+
"normalized": false,
|
| 616 |
+
"rstrip": false,
|
| 617 |
+
"single_word": false,
|
| 618 |
+
"special": true
|
| 619 |
+
},
|
| 620 |
+
"32074": {
|
| 621 |
+
"content": "<extra_id_25>",
|
| 622 |
+
"lstrip": false,
|
| 623 |
+
"normalized": false,
|
| 624 |
+
"rstrip": false,
|
| 625 |
+
"single_word": false,
|
| 626 |
+
"special": true
|
| 627 |
+
},
|
| 628 |
+
"32075": {
|
| 629 |
+
"content": "<extra_id_24>",
|
| 630 |
+
"lstrip": false,
|
| 631 |
+
"normalized": false,
|
| 632 |
+
"rstrip": false,
|
| 633 |
+
"single_word": false,
|
| 634 |
+
"special": true
|
| 635 |
+
},
|
| 636 |
+
"32076": {
|
| 637 |
+
"content": "<extra_id_23>",
|
| 638 |
+
"lstrip": false,
|
| 639 |
+
"normalized": false,
|
| 640 |
+
"rstrip": false,
|
| 641 |
+
"single_word": false,
|
| 642 |
+
"special": true
|
| 643 |
+
},
|
| 644 |
+
"32077": {
|
| 645 |
+
"content": "<extra_id_22>",
|
| 646 |
+
"lstrip": false,
|
| 647 |
+
"normalized": false,
|
| 648 |
+
"rstrip": false,
|
| 649 |
+
"single_word": false,
|
| 650 |
+
"special": true
|
| 651 |
+
},
|
| 652 |
+
"32078": {
|
| 653 |
+
"content": "<extra_id_21>",
|
| 654 |
+
"lstrip": false,
|
| 655 |
+
"normalized": false,
|
| 656 |
+
"rstrip": false,
|
| 657 |
+
"single_word": false,
|
| 658 |
+
"special": true
|
| 659 |
+
},
|
| 660 |
+
"32079": {
|
| 661 |
+
"content": "<extra_id_20>",
|
| 662 |
+
"lstrip": false,
|
| 663 |
+
"normalized": false,
|
| 664 |
+
"rstrip": false,
|
| 665 |
+
"single_word": false,
|
| 666 |
+
"special": true
|
| 667 |
+
},
|
| 668 |
+
"32080": {
|
| 669 |
+
"content": "<extra_id_19>",
|
| 670 |
+
"lstrip": false,
|
| 671 |
+
"normalized": false,
|
| 672 |
+
"rstrip": false,
|
| 673 |
+
"single_word": false,
|
| 674 |
+
"special": true
|
| 675 |
+
},
|
| 676 |
+
"32081": {
|
| 677 |
+
"content": "<extra_id_18>",
|
| 678 |
+
"lstrip": false,
|
| 679 |
+
"normalized": false,
|
| 680 |
+
"rstrip": false,
|
| 681 |
+
"single_word": false,
|
| 682 |
+
"special": true
|
| 683 |
+
},
|
| 684 |
+
"32082": {
|
| 685 |
+
"content": "<extra_id_17>",
|
| 686 |
+
"lstrip": false,
|
| 687 |
+
"normalized": false,
|
| 688 |
+
"rstrip": false,
|
| 689 |
+
"single_word": false,
|
| 690 |
+
"special": true
|
| 691 |
+
},
|
| 692 |
+
"32083": {
|
| 693 |
+
"content": "<extra_id_16>",
|
| 694 |
+
"lstrip": false,
|
| 695 |
+
"normalized": false,
|
| 696 |
+
"rstrip": false,
|
| 697 |
+
"single_word": false,
|
| 698 |
+
"special": true
|
| 699 |
+
},
|
| 700 |
+
"32084": {
|
| 701 |
+
"content": "<extra_id_15>",
|
| 702 |
+
"lstrip": false,
|
| 703 |
+
"normalized": false,
|
| 704 |
+
"rstrip": false,
|
| 705 |
+
"single_word": false,
|
| 706 |
+
"special": true
|
| 707 |
+
},
|
| 708 |
+
"32085": {
|
| 709 |
+
"content": "<extra_id_14>",
|
| 710 |
+
"lstrip": false,
|
| 711 |
+
"normalized": false,
|
| 712 |
+
"rstrip": false,
|
| 713 |
+
"single_word": false,
|
| 714 |
+
"special": true
|
| 715 |
+
},
|
| 716 |
+
"32086": {
|
| 717 |
+
"content": "<extra_id_13>",
|
| 718 |
+
"lstrip": false,
|
| 719 |
+
"normalized": false,
|
| 720 |
+
"rstrip": false,
|
| 721 |
+
"single_word": false,
|
| 722 |
+
"special": true
|
| 723 |
+
},
|
| 724 |
+
"32087": {
|
| 725 |
+
"content": "<extra_id_12>",
|
| 726 |
+
"lstrip": false,
|
| 727 |
+
"normalized": false,
|
| 728 |
+
"rstrip": false,
|
| 729 |
+
"single_word": false,
|
| 730 |
+
"special": true
|
| 731 |
+
},
|
| 732 |
+
"32088": {
|
| 733 |
+
"content": "<extra_id_11>",
|
| 734 |
+
"lstrip": false,
|
| 735 |
+
"normalized": false,
|
| 736 |
+
"rstrip": false,
|
| 737 |
+
"single_word": false,
|
| 738 |
+
"special": true
|
| 739 |
+
},
|
| 740 |
+
"32089": {
|
| 741 |
+
"content": "<extra_id_10>",
|
| 742 |
+
"lstrip": false,
|
| 743 |
+
"normalized": false,
|
| 744 |
+
"rstrip": false,
|
| 745 |
+
"single_word": false,
|
| 746 |
+
"special": true
|
| 747 |
+
},
|
| 748 |
+
"32090": {
|
| 749 |
+
"content": "<extra_id_9>",
|
| 750 |
+
"lstrip": false,
|
| 751 |
+
"normalized": false,
|
| 752 |
+
"rstrip": false,
|
| 753 |
+
"single_word": false,
|
| 754 |
+
"special": true
|
| 755 |
+
},
|
| 756 |
+
"32091": {
|
| 757 |
+
"content": "<extra_id_8>",
|
| 758 |
+
"lstrip": false,
|
| 759 |
+
"normalized": false,
|
| 760 |
+
"rstrip": false,
|
| 761 |
+
"single_word": false,
|
| 762 |
+
"special": true
|
| 763 |
+
},
|
| 764 |
+
"32092": {
|
| 765 |
+
"content": "<extra_id_7>",
|
| 766 |
+
"lstrip": false,
|
| 767 |
+
"normalized": false,
|
| 768 |
+
"rstrip": false,
|
| 769 |
+
"single_word": false,
|
| 770 |
+
"special": true
|
| 771 |
+
},
|
| 772 |
+
"32093": {
|
| 773 |
+
"content": "<extra_id_6>",
|
| 774 |
+
"lstrip": false,
|
| 775 |
+
"normalized": false,
|
| 776 |
+
"rstrip": false,
|
| 777 |
+
"single_word": false,
|
| 778 |
+
"special": true
|
| 779 |
+
},
|
| 780 |
+
"32094": {
|
| 781 |
+
"content": "<extra_id_5>",
|
| 782 |
+
"lstrip": false,
|
| 783 |
+
"normalized": false,
|
| 784 |
+
"rstrip": false,
|
| 785 |
+
"single_word": false,
|
| 786 |
+
"special": true
|
| 787 |
+
},
|
| 788 |
+
"32095": {
|
| 789 |
+
"content": "<extra_id_4>",
|
| 790 |
+
"lstrip": false,
|
| 791 |
+
"normalized": false,
|
| 792 |
+
"rstrip": false,
|
| 793 |
+
"single_word": false,
|
| 794 |
+
"special": true
|
| 795 |
+
},
|
| 796 |
+
"32096": {
|
| 797 |
+
"content": "<extra_id_3>",
|
| 798 |
+
"lstrip": false,
|
| 799 |
+
"normalized": false,
|
| 800 |
+
"rstrip": false,
|
| 801 |
+
"single_word": false,
|
| 802 |
+
"special": true
|
| 803 |
+
},
|
| 804 |
+
"32097": {
|
| 805 |
+
"content": "<extra_id_2>",
|
| 806 |
+
"lstrip": false,
|
| 807 |
+
"normalized": false,
|
| 808 |
+
"rstrip": false,
|
| 809 |
+
"single_word": false,
|
| 810 |
+
"special": true
|
| 811 |
+
},
|
| 812 |
+
"32098": {
|
| 813 |
+
"content": "<extra_id_1>",
|
| 814 |
+
"lstrip": false,
|
| 815 |
+
"normalized": false,
|
| 816 |
+
"rstrip": false,
|
| 817 |
+
"single_word": false,
|
| 818 |
+
"special": true
|
| 819 |
+
},
|
| 820 |
+
"32099": {
|
| 821 |
+
"content": "<extra_id_0>",
|
| 822 |
+
"lstrip": false,
|
| 823 |
+
"normalized": false,
|
| 824 |
+
"rstrip": false,
|
| 825 |
+
"single_word": false,
|
| 826 |
+
"special": true
|
| 827 |
+
}
|
| 828 |
+
},
|
| 829 |
+
"additional_special_tokens": [
|
| 830 |
+
"<extra_id_0>",
|
| 831 |
+
"<extra_id_1>",
|
| 832 |
+
"<extra_id_2>",
|
| 833 |
+
"<extra_id_3>",
|
| 834 |
+
"<extra_id_4>",
|
| 835 |
+
"<extra_id_5>",
|
| 836 |
+
"<extra_id_6>",
|
| 837 |
+
"<extra_id_7>",
|
| 838 |
+
"<extra_id_8>",
|
| 839 |
+
"<extra_id_9>",
|
| 840 |
+
"<extra_id_10>",
|
| 841 |
+
"<extra_id_11>",
|
| 842 |
+
"<extra_id_12>",
|
| 843 |
+
"<extra_id_13>",
|
| 844 |
+
"<extra_id_14>",
|
| 845 |
+
"<extra_id_15>",
|
| 846 |
+
"<extra_id_16>",
|
| 847 |
+
"<extra_id_17>",
|
| 848 |
+
"<extra_id_18>",
|
| 849 |
+
"<extra_id_19>",
|
| 850 |
+
"<extra_id_20>",
|
| 851 |
+
"<extra_id_21>",
|
| 852 |
+
"<extra_id_22>",
|
| 853 |
+
"<extra_id_23>",
|
| 854 |
+
"<extra_id_24>",
|
| 855 |
+
"<extra_id_25>",
|
| 856 |
+
"<extra_id_26>",
|
| 857 |
+
"<extra_id_27>",
|
| 858 |
+
"<extra_id_28>",
|
| 859 |
+
"<extra_id_29>",
|
| 860 |
+
"<extra_id_30>",
|
| 861 |
+
"<extra_id_31>",
|
| 862 |
+
"<extra_id_32>",
|
| 863 |
+
"<extra_id_33>",
|
| 864 |
+
"<extra_id_34>",
|
| 865 |
+
"<extra_id_35>",
|
| 866 |
+
"<extra_id_36>",
|
| 867 |
+
"<extra_id_37>",
|
| 868 |
+
"<extra_id_38>",
|
| 869 |
+
"<extra_id_39>",
|
| 870 |
+
"<extra_id_40>",
|
| 871 |
+
"<extra_id_41>",
|
| 872 |
+
"<extra_id_42>",
|
| 873 |
+
"<extra_id_43>",
|
| 874 |
+
"<extra_id_44>",
|
| 875 |
+
"<extra_id_45>",
|
| 876 |
+
"<extra_id_46>",
|
| 877 |
+
"<extra_id_47>",
|
| 878 |
+
"<extra_id_48>",
|
| 879 |
+
"<extra_id_49>",
|
| 880 |
+
"<extra_id_50>",
|
| 881 |
+
"<extra_id_51>",
|
| 882 |
+
"<extra_id_52>",
|
| 883 |
+
"<extra_id_53>",
|
| 884 |
+
"<extra_id_54>",
|
| 885 |
+
"<extra_id_55>",
|
| 886 |
+
"<extra_id_56>",
|
| 887 |
+
"<extra_id_57>",
|
| 888 |
+
"<extra_id_58>",
|
| 889 |
+
"<extra_id_59>",
|
| 890 |
+
"<extra_id_60>",
|
| 891 |
+
"<extra_id_61>",
|
| 892 |
+
"<extra_id_62>",
|
| 893 |
+
"<extra_id_63>",
|
| 894 |
+
"<extra_id_64>",
|
| 895 |
+
"<extra_id_65>",
|
| 896 |
+
"<extra_id_66>",
|
| 897 |
+
"<extra_id_67>",
|
| 898 |
+
"<extra_id_68>",
|
| 899 |
+
"<extra_id_69>",
|
| 900 |
+
"<extra_id_70>",
|
| 901 |
+
"<extra_id_71>",
|
| 902 |
+
"<extra_id_72>",
|
| 903 |
+
"<extra_id_73>",
|
| 904 |
+
"<extra_id_74>",
|
| 905 |
+
"<extra_id_75>",
|
| 906 |
+
"<extra_id_76>",
|
| 907 |
+
"<extra_id_77>",
|
| 908 |
+
"<extra_id_78>",
|
| 909 |
+
"<extra_id_79>",
|
| 910 |
+
"<extra_id_80>",
|
| 911 |
+
"<extra_id_81>",
|
| 912 |
+
"<extra_id_82>",
|
| 913 |
+
"<extra_id_83>",
|
| 914 |
+
"<extra_id_84>",
|
| 915 |
+
"<extra_id_85>",
|
| 916 |
+
"<extra_id_86>",
|
| 917 |
+
"<extra_id_87>",
|
| 918 |
+
"<extra_id_88>",
|
| 919 |
+
"<extra_id_89>",
|
| 920 |
+
"<extra_id_90>",
|
| 921 |
+
"<extra_id_91>",
|
| 922 |
+
"<extra_id_92>",
|
| 923 |
+
"<extra_id_93>",
|
| 924 |
+
"<extra_id_94>",
|
| 925 |
+
"<extra_id_95>",
|
| 926 |
+
"<extra_id_96>",
|
| 927 |
+
"<extra_id_97>",
|
| 928 |
+
"<extra_id_98>",
|
| 929 |
+
"<extra_id_99>"
|
| 930 |
+
],
|
| 931 |
+
"clean_up_tokenization_spaces": true,
|
| 932 |
+
"eos_token": "</s>",
|
| 933 |
+
"extra_ids": 100,
|
| 934 |
+
"extra_special_tokens": {},
|
| 935 |
+
"legacy": true,
|
| 936 |
+
"model_max_length": 512,
|
| 937 |
+
"pad_token": "<pad>",
|
| 938 |
+
"sp_model_kwargs": {},
|
| 939 |
+
"tokenizer_class": "T5Tokenizer",
|
| 940 |
+
"unk_token": "<unk>"
|
| 941 |
+
}
|
transformer/config.json
ADDED
|
@@ -0,0 +1,20 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "FluxTransformer2DModel",
|
| 3 |
+
"_diffusers_version": "0.32.1",
|
| 4 |
+
"_name_or_path": "/home/ea/.cache/huggingface/hub/models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/transformer",
|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
transformer/openvino_model.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 6414717992
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transformer/openvino_model.xml
ADDED
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vae_decoder/config.json
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| 1 |
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{
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| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.32.1",
|
| 4 |
+
"_name_or_path": "/home/ea/.cache/huggingface/hub/models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/vae",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
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|
| 7 |
+
128,
|
| 8 |
+
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|
| 9 |
+
512,
|
| 10 |
+
512
|
| 11 |
+
],
|
| 12 |
+
"down_block_types": [
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D"
|
| 17 |
+
],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
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"in_channels": 3,
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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"layers_per_block": 2,
|
| 24 |
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"mid_block_add_attention": true,
|
| 25 |
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"norm_num_groups": 32,
|
| 26 |
+
"out_channels": 3,
|
| 27 |
+
"sample_size": 1024,
|
| 28 |
+
"scaling_factor": 0.3611,
|
| 29 |
+
"shift_factor": 0.1159,
|
| 30 |
+
"up_block_types": [
|
| 31 |
+
"UpDecoderBlock2D",
|
| 32 |
+
"UpDecoderBlock2D",
|
| 33 |
+
"UpDecoderBlock2D",
|
| 34 |
+
"UpDecoderBlock2D"
|
| 35 |
+
],
|
| 36 |
+
"use_post_quant_conv": false,
|
| 37 |
+
"use_quant_conv": false
|
| 38 |
+
}
|
vae_decoder/openvino_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 49331921
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vae_decoder/openvino_model.xml
ADDED
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The diff for this file is too large to render.
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vae_encoder/config.json
ADDED
|
@@ -0,0 +1,38 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"_class_name": "AutoencoderKL",
|
| 3 |
+
"_diffusers_version": "0.32.1",
|
| 4 |
+
"_name_or_path": "/home/ea/.cache/huggingface/hub/models--black-forest-labs--FLUX.1-schnell/snapshots/741f7c3ce8b383c54771c7003378a50191e9efe9/vae",
|
| 5 |
+
"act_fn": "silu",
|
| 6 |
+
"block_out_channels": [
|
| 7 |
+
128,
|
| 8 |
+
256,
|
| 9 |
+
512,
|
| 10 |
+
512
|
| 11 |
+
],
|
| 12 |
+
"down_block_types": [
|
| 13 |
+
"DownEncoderBlock2D",
|
| 14 |
+
"DownEncoderBlock2D",
|
| 15 |
+
"DownEncoderBlock2D",
|
| 16 |
+
"DownEncoderBlock2D"
|
| 17 |
+
],
|
| 18 |
+
"force_upcast": true,
|
| 19 |
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"in_channels": 3,
|
| 20 |
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|
| 21 |
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|
| 22 |
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"latents_std": null,
|
| 23 |
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"layers_per_block": 2,
|
| 24 |
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"mid_block_add_attention": true,
|
| 25 |
+
"norm_num_groups": 32,
|
| 26 |
+
"out_channels": 3,
|
| 27 |
+
"sample_size": 1024,
|
| 28 |
+
"scaling_factor": 0.3611,
|
| 29 |
+
"shift_factor": 0.1159,
|
| 30 |
+
"up_block_types": [
|
| 31 |
+
"UpDecoderBlock2D",
|
| 32 |
+
"UpDecoderBlock2D",
|
| 33 |
+
"UpDecoderBlock2D",
|
| 34 |
+
"UpDecoderBlock2D"
|
| 35 |
+
],
|
| 36 |
+
"use_post_quant_conv": false,
|
| 37 |
+
"use_quant_conv": false
|
| 38 |
+
}
|
vae_encoder/openvino_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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| 3 |
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size 34022412
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vae_encoder/openvino_model.xml
ADDED
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The diff for this file is too large to render.
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|
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