Instructions to use sgugger/resnet50d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use sgugger/resnet50d with timm:
import timm model = timm.create_model("hf_hub:sgugger/resnet50d", pretrained=True) - Notebooks
- Google Colab
- Kaggle
rename weights to pytorch_model.bin for consistency
Browse files- .gitattributes +0 -1
- pytorch_model.pth → pytorch_model.bin +0 -0
.gitattributes
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pytorch_model.pth → pytorch_model.bin
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