Instructions to use SamAdamDay/resnet18_cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use SamAdamDay/resnet18_cifar10 with timm:
import timm model = timm.create_model("hf_hub:SamAdamDay/resnet18_cifar10", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5a2e27d3523c08cfa441d9e8640d3f990ddf9c7f564bf0a6415df23771a089d
- Size of remote file:
- 44.8 MB
- SHA256:
- c4a1d0197a02d32e5356be36a2dca2910eafe813e5305a5e7c1db8fcbb7d2e89
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