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M3-Agent-Memorization

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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.