Instructions to use 1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use 1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms with timm:
import timm model = timm.create_model("hf_hub:1aurent/vit_base_patch16_224.kaiko_ai_towards_large_pathology_fms", pretrained=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c58bd92f89840082b8336dcb09f1ae75aa4383d0fa41f2fa53be15c7f3987c4
- Size of remote file:
- 343 MB
- SHA256:
- 3022e4daf86e2f66ca5d885bbc347431b950afae3d92934d0c7a3917f32d09b9
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