Instructions to use edadaltocg/resnet50_cifar100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use edadaltocg/resnet50_cifar100 with timm:
import timm model = timm.create_model("hf_hub:edadaltocg/resnet50_cifar100", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0489ee1a286a07e7584428aef60554a86a32bfe86aac89f35752d9c05faf77de
- Size of remote file:
- 95.1 MB
- SHA256:
- 3d54f148b6047312e4c4106665296541d107fbed16af29ee25b9f1d92b487c85
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