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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/huggingface_hub/utils/_http.py", line 426, in hf_raise_for_status
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raise _format(GatedRepoError, message, response) from e
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huggingface_hub.errors.GatedRepoError: 403 Client Error. (Request ID: Root=1-6889b14c-48562b630e97e6b6468ad43c;9290a64d-9123-47c2-8ebd-1707b6e806ba)
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Cannot access gated repo for url https://huggingface.co/arcee-ai/AFM-4.5B/resolve/main/config.json.
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Access to model arcee-ai/AFM-4.5B is restricted and you are not in the authorized list. Visit https://huggingface.co/arcee-ai/AFM-4.5B to ask for access.
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The above exception was the direct cause of the following exception:
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Traceback (most recent call last):
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File "/tmp/arcee-ai_AFM-4.5B_1kBQ2OH.py", line 13, in <module>
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tokenizer = AutoTokenizer.from_pretrained("arcee-ai/AFM-4.5B")
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/models/auto/tokenization_auto.py", line 1067, in from_pretrained
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config = AutoConfig.from_pretrained(
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pretrained_model_name_or_path, trust_remote_code=trust_remote_code, **kwargs
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)
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/models/auto/configuration_auto.py", line 1244, in from_pretrained
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config_dict, unused_kwargs = PretrainedConfig.get_config_dict(pretrained_model_name_or_path, **kwargs)
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/configuration_utils.py", line 649, in get_config_dict
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config_dict, kwargs = cls._get_config_dict(pretrained_model_name_or_path, **kwargs)
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~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/configuration_utils.py", line 708, in _get_config_dict
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resolved_config_file = cached_file(
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pretrained_model_name_or_path,
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...<10 lines>...
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_commit_hash=commit_hash,
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)
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/utils/hub.py", line 318, in cached_file
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file = cached_files(path_or_repo_id=path_or_repo_id, filenames=[filename], **kwargs)
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File "/tmp/.cache/uv/environments-v2/d63d34ff64d6f2c0/lib/python3.13/site-packages/transformers/utils/hub.py", line 540, in cached_files
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raise OSError(
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...<2 lines>...
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) from e
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OSError: You are trying to access a gated repo.
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Make sure to have access to it at https://huggingface.co/arcee-ai/AFM-4.5B.
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403 Client Error. (Request ID: Root=1-6889b14c-48562b630e97e6b6468ad43c;9290a64d-9123-47c2-8ebd-1707b6e806ba)
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Cannot access gated repo for url https://huggingface.co/arcee-ai/AFM-4.5B/resolve/main/config.json.
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Access to model arcee-ai/AFM-4.5B is restricted and you are not in the authorized list. Visit https://huggingface.co/arcee-ai/AFM-4.5B to ask for access.
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No suitable GPU found for baidu/ERNIE-4.5-21B-A3B-Thinking | 105.70 GB VRAM requirement
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No suitable GPU found for baidu/ERNIE-4.5-21B-A3B-Thinking | 105.70 GB VRAM requirement
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No suitable GPU found for baidu/ERNIE-4.5-VL-28B-A3B-PT | 142.38 GB VRAM requirement
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No suitable GPU found for baidu/ERNIE-4.5-VL-28B-A3B-PT | 142.38 GB VRAM requirement
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No suitable GPU found for baidu/ERNIE-4.5-VL-424B-A47B-PT | 1025.54 GB VRAM requirement
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No suitable GPU found for baidu/ERNIE-4.5-VL-424B-A47B-PT | 1025.54 GB VRAM requirement
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Traceback (most recent call last):
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File "/tmp/baidu_Qianfan-VL-3B_08wyLXL.py", line 16, in <module>
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pipe = pipeline("image-text-to-text", model="baidu/Qianfan-VL-3B", trust_remote_code=True)
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/pipelines/__init__.py", line 1028, in pipeline
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framework, model = infer_framework_load_model(
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~~~~~~~~~~~~~~~~~~~~~~~~~~^
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adapter_path if adapter_path is not None else model,
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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...<5 lines>...
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**model_kwargs,
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^^^^^^^^^^^^^^^
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)
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^
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/pipelines/base.py", line 333, in infer_framework_load_model
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raise ValueError(
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f"Could not load model {model} with any of the following classes: {class_tuple}. See the original errors:\n\n{error}\n"
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)
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ValueError: Could not load model baidu/Qianfan-VL-3B with any of the following classes: (<class 'transformers.models.auto.modeling_auto.AutoModelForImageTextToText'>,). See the original errors:
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while loading with AutoModelForImageTextToText, an error is thrown:
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Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/pipelines/base.py", line 293, in infer_framework_load_model
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model = model_class.from_pretrained(model, **kwargs)
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
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raise ValueError(
|
...<2 lines>...
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)
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ValueError: Unrecognized configuration class <class 'transformers_modules.baidu.Qianfan-VL-3B.067c5a6df567f8420b34f10ca3aa3ae63dc26e1b.configuration_qianfanvl_chat.QianfanVLChatConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
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Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
|
During handling of the above exception, another exception occurred:
|
Traceback (most recent call last):
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/pipelines/base.py", line 311, in infer_framework_load_model
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model = model_class.from_pretrained(model, **fp32_kwargs)
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File "/tmp/.cache/uv/environments-v2/81fc7cfba71ddfe6/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 607, in from_pretrained
|
raise ValueError(
|
...<2 lines>...
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)
|
ValueError: Unrecognized configuration class <class 'transformers_modules.baidu.Qianfan-VL-3B.067c5a6df567f8420b34f10ca3aa3ae63dc26e1b.configuration_qianfanvl_chat.QianfanVLChatConfig'> for this kind of AutoModel: AutoModelForImageTextToText.
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Model type should be one of AriaConfig, AyaVisionConfig, BlipConfig, Blip2Config, ChameleonConfig, Cohere2VisionConfig, DeepseekVLConfig, DeepseekVLHybridConfig, Emu3Config, EvollaConfig, Florence2Config, FuyuConfig, Gemma3Config, Gemma3nConfig, GitConfig, Glm4vConfig, Glm4vMoeConfig, GotOcr2Config, IdeficsConfig, Idefics2Config, Idefics3Config, InstructBlipConfig, InternVLConfig, JanusConfig, Kosmos2Config, Kosmos2_5Config, Llama4Config, LlavaConfig, LlavaNextConfig, LlavaNextVideoConfig, LlavaOnevisionConfig, Mistral3Config, MllamaConfig, Ovis2Config, PaliGemmaConfig, PerceptionLMConfig, Pix2StructConfig, PixtralVisionConfig, Qwen2_5_VLConfig, Qwen2VLConfig, ShieldGemma2Config, SmolVLMConfig, UdopConfig, VipLlavaConfig, VisionEncoderDecoderConfig.
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Traceback (most recent call last):
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File "/tmp/baidu_Qianfan-VL-3B_16a1gMk.py", line 15, in <module>
|
model = AutoModel.from_pretrained("baidu/Qianfan-VL-3B", trust_remote_code=True, torch_dtype="auto")
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File "/tmp/.cache/uv/environments-v2/899a4ca09b916084/lib/python3.13/site-packages/transformers/models/auto/auto_factory.py", line 586, in from_pretrained
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model_class = get_class_from_dynamic_module(
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class_ref, pretrained_model_name_or_path, code_revision=code_revision, **hub_kwargs, **kwargs
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)
|
File "/tmp/.cache/uv/environments-v2/899a4ca09b916084/lib/python3.13/site-packages/transformers/dynamic_module_utils.py", line 569, in get_class_from_dynamic_module
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final_module = get_cached_module_file(
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repo_id,
|
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