Instructions to use adamdad/kat_tiny_patch16_224.vitft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use adamdad/kat_tiny_patch16_224.vitft with timm:
import timm model = timm.create_model("hf_hub:adamdad/kat_tiny_patch16_224.vitft", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aea588ea72ae5140bbbd0c987c9ea0e81e074e410f2bf4202e3bd2b459f097b0
- Size of remote file:
- 22.9 MB
- SHA256:
- 1c3324572020e611729d69f7eee928ac7e801b96b4f77a074bff74be2686438b
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