Instructions to use adamdad/kat_small_patch16_224 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use adamdad/kat_small_patch16_224 with timm:
import timm model = timm.create_model("hf_hub:adamdad/kat_small_patch16_224", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5373c125378525552c048d3ecdaae3913d4eae9efbffd083dc4c3f05f073efd4
- Size of remote file:
- 88.3 MB
- SHA256:
- cc3837b2b10475322d8c85addfab7f2170a6205158c530a4d963b4695b6ca9ba
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