Instructions to use adamdad/kat_small_patch16_224.vitft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use adamdad/kat_small_patch16_224.vitft with timm:
import timm model = timm.create_model("hf_hub:adamdad/kat_small_patch16_224.vitft", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f557b546c5e2ae0f1938f2b8aa7e7028bcf06651e89dbb324ee1c0cf2697fe5
- Size of remote file:
- 88.3 MB
- SHA256:
- 855d276ad48465822e7cfd2a7c5226992a1d6e776b07e9e87deb7736c8713819
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