Instructions to use amanyagami/Cifar100_Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use amanyagami/Cifar100_Finetuned with timm:
import timm model = timm.create_model("hf_hub:amanyagami/Cifar100_Finetuned", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add finetuned weights
Browse files- vit_b_cifar100.pth +3 -0
vit_b_cifar100.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:5635e650bfdeb747ae27c7a275ac77daceb6799e7749eddabc2f5a00e8ca8f23
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size 570649307
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