Image Classification
timm
PyTorch
English
timm/vit_base_patch16_224.orig_in21k_ft_in1k
cifar100
Eval Results (legacy)
Instructions to use edadaltocg/vit_base_patch16_224_in21k_ft_cifar100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use edadaltocg/vit_base_patch16_224_in21k_ft_cifar100 with timm:
import timm model = timm.create_model("hf_hub:edadaltocg/vit_base_patch16_224_in21k_ft_cifar100", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 03541ccddb568bb6925699158130d805c8b35eb4b3dca010fd0c074e824b5797
- Size of remote file:
- 344 MB
- SHA256:
- fe7a0dbc8ece2d3717dffbfec370a433ad2fbf74d5dec9315481a15a66dfbfe2
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