This PR significantly enhances the model card for ProCLIP, a model focused on progressive vision-language alignment.
Key updates include:
- **License Update**: Changed from `apache-2.0` to `mit`, aligning with the license specified in the official GitHub repository.
- **Pipeline Tag Refinement**: Updated from `image-text-to-text` to `zero-shot-image-classification` to more accurately reflect the model's capabilities, particularly its strong performance in classification tasks as indicated by the paper and GitHub results.
- **Comprehensive Content**: Populated the model card with a detailed overview, including the paper's abstract, methodology explanation (with an illustrative image), and demonstration of results (with images).
- **Links**: Added direct links to the Hugging Face paper page and the official GitHub repository for easy access to the source material and code.
These improvements aim to make the model more discoverable and understandable for users on the Hugging Fac…
