Instructions to use MVRL/rcme-tol-vit-base-patch16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- OpenCLIP
How to use MVRL/rcme-tol-vit-base-patch16 with OpenCLIP:
import open_clip model, preprocess_train, preprocess_val = open_clip.create_model_and_transforms('hf-hub:MVRL/rcme-tol-vit-base-patch16') tokenizer = open_clip.get_tokenizer('hf-hub:MVRL/rcme-tol-vit-base-patch16') - Notebooks
- Google Colab
- Kaggle
Improve model card: Add abstract, project page, and update paper link
#1
by nielsr HF Staff - opened
This PR significantly enhances the model card for rcme-tol-vit-base-patch16 by:
- Updating the paper link to the Hugging Face Papers page (
huggingface.co/papers/2506.21476), providing a more consistent and direct experience on the Hub. - Including the full paper abstract to offer a comprehensive overview of the model's context, methodology, and key contributions.
- Adding a link to the dedicated project page (
https://vishu26.github.io/RCME/index.html) for users seeking more detailed information and related resources.
Srikumar26 changed pull request status to merged