Instructions to use rievil/crackenpy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rievil/crackenpy with timm:
import timm model = timm.create_model("hf_hub:rievil/crackenpy", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -4
config.json
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@@ -1,10 +1,7 @@
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{
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"_name_or_path": "crackenpy/model1.pt",
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"architectures": [
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"resnext"
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]
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"model_type":"resnext",
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"num_labels": 5,
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"image_size": 416,
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"pooler_type": "avg"
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}
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{
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"_name_or_path": "crackenpy/model1.pt",
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"model_type":"resnext",
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"num_labels": 5,
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"image_size": 416,
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"pooler_type": "avg",
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}
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