Instructions to use roylvzn/vit-cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use roylvzn/vit-cifar10 with timm:
import timm model = timm.create_model("hf-hub:roylvzn/vit-cifar10", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from roylvzn/vit-cifar10: direct link, hf CLI and curl.
- Browser
- Download file 343 MB
-
https://huggingface.co/roylvzn/vit-cifar10/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://roylvzn/vit-cifar10@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/roylvzn/vit-cifar10/resolve/refs%2Fpr%2F1/pytorch_model.bin
343 MB
- Xet hash:
- 6a8d3e9e0764ea1ef75c08f7e062e8641501e061f33588583b2b078bd233dda6
- Size of remote file:
- 343 MB
- SHA256:
- cad4c8468fd4eab092a7b0c7f6c7bdd9b0bf4c337d255967e81594736b3beff2
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