UniViT

--- license: mit language: - en tags: - histology - pathology - vision - pytorch - self-supervised - vit extra_gated_prompt: >- link https://huggingface.co/MahmoodLab/UNI extra_gated_fields: Full name (first and last): text Current affiliation (no abbreviations): text Type of Affiliation: type: select options: - Academia - Industry - label: Other value: other Current and official institutional email (**this must match your primary email in your Hugging Face account, @gmail/@hotmail/@qq email domains will be denied**): text Please explain your intended research use: text I agree to all terms outlined above: checkbox I agree to use this model for non-commercial, academic purposes only: checkbox I agree not to distribute the model, if another user within your organization wishes to use the UNI model, they must register as an individual user: checkbox metrics: - accuracy pipeline_tag: image-feature-extraction library_name: timm --- # 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: \[[Huggingface Repo](https://huggingface.co/MahmoodLab/UNI2-h)\] ``` Works that use UNI should also attribute ViT and DINOv2.

Source context: 10 downloads · 0 likes · Pipeline image-feature-extraction · Library timm · Repo TommyNgx/UniViT