Instructions to use 1aurent/resnet50.tiatoolbox-pcam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/resnet50.tiatoolbox-pcam with timm:
import timm model = timm.create_model("hf_hub:1aurent/resnet50.tiatoolbox-pcam", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +4 -4
config.json
CHANGED
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"custom_load": false,
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"input_size": [
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3,
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],
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"test_input_size": [
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3,
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],
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"fixed_input_size": false,
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"interpolation": "bicubic",
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"custom_load": false,
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"input_size": [
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3,
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96,
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96
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],
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"test_input_size": [
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3,
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96,
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96
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],
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"fixed_input_size": false,
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"interpolation": "bicubic",
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