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
- Xet hash:
- 3a5be227d40873eecc26e23522ae61d2bc9260a30b6847dd062622e7aac00bd0
- Size of remote file:
- 103 MB
- SHA256:
- eba2e1de92fa640fccf0ad56acfd41031b034ef29bdf46e9dcbebb16f713b6e2
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