Push model using huggingface_hub.
Browse files- README.md +6 -8
- config.json +11 -7
- model.safetensors +2 -2
README.md
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@@ -11,7 +11,7 @@ tags:
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languages:
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- python
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---
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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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@@ -32,15 +32,13 @@ model_init_params = {
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"encoder_name": "resnet34",
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"encoder_depth": 5,
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"encoder_weights": "imagenet",
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"
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"
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"
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"decoder_dropout": 0.2,
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"decoder_interpolation": "nearest",
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"in_channels": 3,
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"classes": 1,
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"activation": None,
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"upsampling": 4,
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"aux_params": None
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}
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```
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```json
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[
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{
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"test_per_image_iou": 0.
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"test_dataset_iou": 0.
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}
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]
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```
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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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Table of Contents:
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- [Load trained model](#load-trained-model)
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"encoder_name": "resnet34",
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"encoder_depth": 5,
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"encoder_weights": "imagenet",
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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": 1,
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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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```json
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[
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{
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"test_per_image_iou": 0.9130621552467346,
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"test_dataset_iou": 0.9190137386322021
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}
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]
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```
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config.json
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{
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"_model_class": "
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"activation": null,
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"aux_params": null,
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"classes": 1,
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"decoder_interpolation": "nearest",
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"
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"decoder_pyramid_channels": 256,
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"decoder_segmentation_channels": 128,
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"encoder_depth": 5,
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"encoder_name": "resnet34",
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"encoder_weights": "imagenet",
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"in_channels": 3
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"upsampling": 4
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}
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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": 1,
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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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],
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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": "resnet34",
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"encoder_weights": "imagenet",
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"in_channels": 3
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:d89109a5b37d744fceb5763a917ce8aa4ff821f5ff5678acd00912663e016d60
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size 97849364
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