This PR significantly improves the model card for the M3-Agent model by providing:
- A comprehensive description based on the paper's abstract.
- Explicit links to the project page and the GitHub repository, which were previously missing.
- Essential metadata, including `pipeline_tag: video-text-to-text` and `library_name: transformers`, to improve discoverability and usability on the Hugging Face Hub.
- Additional relevant tags: `multimodal-llm`, `video-understanding`, and `long-term-memory`.
- A clear Python code example demonstrating how to use the model for video understanding with the `transformers` library.
- The BibTeX citation for the paper.
This update makes the model card much more informative and user-friendly for researchers and practitioners.
