This PR significantly updates the model card for the `rice-vit-large-patch14-560` model to accurately reflect its association with the paper **"Region-based Cluster Discrimination for Visual Representation Learning" (RICE)**.
Key changes include:
* Updating the primary paper link to the correct RICE paper ([https://huggingface.co/papers/2507.20025](https://huggingface.co/papers/2507.20025)).
* Adding `library_name: transformers` to enable the "How to use" widget, as the model is compatible with the Transformers library.
* Refining the `pipeline_tag` from `feature-extraction` to `image-feature-extraction` for better discoverability.
* Incorporating comprehensive sections from the official GitHub repository's RICE section, including "Highlights", "Experiments" (with the relevant image, replacing outdated MLCD tables), "How to use" (sample code), "Visualize Semantic Features", "ModelZoo", and "Citation".
* Adding the paper abstract for a detailed overview.
This ensures the mod…
- Updated README.md to include detailed information about the MLCD model
architecture, usage, and performance metrics.
This update aims to provide a robust and scalable vision model to the
HuggingFace community, facilitating advanced research and application
development in computer vision.
