Instructions to use adamdad/kat_base_patch16_224.vitft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use adamdad/kat_base_patch16_224.vitft with timm:
import timm model = timm.create_model("hf_hub:adamdad/kat_base_patch16_224.vitft", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ebb3c473bd9e3265ba3549920545f617b01951fbbb1d7a397bafaa4a9cce809
- Size of remote file:
- 346 MB
- SHA256:
- d81629e416bb8cb0455dd62e6c9b87b77231ef3af0cd95ab5514a78c11f03160
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