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Push model using huggingface_hub. (#1)

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- Push model using huggingface_hub. (5a926e7d86f40fc2315e16d302bc80cd95d80857)

Files changed (3) hide show
  1. README.md +56 -3
  2. config.json +20 -0
  3. model.safetensors +3 -0
README.md CHANGED
@@ -1,3 +1,56 @@
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: segmentation-models-pytorch
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+ license: mit
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+ pipeline_tag: image-segmentation
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+ tags:
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+ - model_hub_mixin
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+ - pytorch_model_hub_mixin
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+ - segmentation-models-pytorch
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+ - semantic-segmentation
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+ - pytorch
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+ languages:
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+ - python
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+ ---
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+ # Unet Model Card
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+
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+ Table of Contents:
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+ - [Load trained model](#load-trained-model)
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+ - [Model init parameters](#model-init-parameters)
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+ - [Model metrics](#model-metrics)
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+ - [Dataset](#dataset)
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+
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+ ## Load trained model
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+ ```python
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+ import segmentation_models_pytorch as smp
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+
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+ model = smp.from_pretrained("<save-directory-or-this-repo>")
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+ ```
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+
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+ ## Model init parameters
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+ ```python
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+ model_init_params = {
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+ "encoder_name": "tu-efficientnet_b2",
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+ "encoder_depth": 5,
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+ "encoder_weights": None,
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+ "decoder_use_norm": "batchnorm",
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+ "decoder_channels": (256, 128, 64, 32, 16),
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+ "decoder_attention_type": None,
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+ "decoder_interpolation": "nearest",
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+ "in_channels": 3,
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+ "classes": 5,
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+ "activation": None,
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+ "aux_params": None
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+ }
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+ ```
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+
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+ ## Model metrics
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+ [More Information Needed]
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+
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+ ## Dataset
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+ Dataset name: comma10k
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+
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+ ## More Information
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+ - Library: https://github.com/qubvel/segmentation_models.pytorch
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+ - Docs: https://smp.readthedocs.io/en/latest/
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+
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+ This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin)
config.json ADDED
@@ -0,0 +1,20 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "_model_class": "Unet",
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+ "activation": null,
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+ "aux_params": null,
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+ "classes": 5,
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+ "decoder_attention_type": null,
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+ "decoder_channels": [
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+ 256,
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+ 128,
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+ 64,
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+ 32,
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+ 16
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+ ],
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+ "decoder_interpolation": "nearest",
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+ "decoder_use_norm": "batchnorm",
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+ "encoder_depth": 5,
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+ "encoder_name": "tu-efficientnet_b2",
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+ "encoder_weights": null,
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+ "in_channels": 3
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+ }
model.safetensors ADDED
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