This PR significantly enhances the model card for the `SimVQ` model by:
- Adding the `pipeline_tag: image-to-image` to the metadata, which helps users discover the model for relevant tasks on the Hub.
- Including a comprehensive description of the model based on the paper's abstract.
- Providing a direct link to the official paper on Hugging Face (`https://huggingface.co/papers/2411.02038`).
- Adding a link to the official GitHub repository (`https://github.com/youngsheen/SimVQ`) for easy access to the code.
- Incorporating quantitative comparison tables from the GitHub README, showcasing the model's performance on both image and audio tasks.
- Adding reconstruction visualizations for both image and audio, linking to the raw assets on GitHub.
- Including a BibTeX citation for the paper.
These changes make the model card more informative, discoverable, and aligned with best practices for documenting artifacts on the Hugging Face Hub.
