Instructions to use adamdad/kat_base_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use adamdad/kat_base_patch16_224 with timm:
import timm model = timm.create_model("hf_hub:adamdad/kat_base_patch16_224", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 813c1b92d769d0be091822d5ab72ff7803f5a7e72a6121bd38ac7aef8fbdbecd
- Size of remote file:
- 346 MB
- SHA256:
- 39f5fb56b268a7881e5b350327af2a70581cd8aecab366b771208c97b1bb1cbf
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