Instructions to use TommyNgx/UniViT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use TommyNgx/UniViT with timm:
import timm model = timm.create_model("hf_hub:TommyNgx/UniViT", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Updates:
UNI2, a successor to UNI, trained on over 200 million images from over 350k diverse H&E and IHC slides has been released! Model weights and instructions are available at: [Huggingface Repo]
Works that use UNI should also attribute ViT and DINOv2.
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