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RynnEC-2B

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DAMO Academy 67

This PR significantly enhances the model card for RynnEC-2B by:

• Adding the pipeline_tag: video-text-to-text to improve discoverability on the Hub (e.g., via https://huggingface.co/models?pipeline_tag=video-text-to-text).
• Specifying library_name: transformers to correctly identify the library used for inference, enabling the "Use in Transformers" widget and clearer guidance.
• Updating the main title's link to point to the official Hugging Face paper page: RynnEC: Bringing MLLMs into Embodied World.
• Adding explicit links to the paper, GitHub repository, and project page at the beginning of the model card.
• Completing the Citation section with the BibTeX entry from the official GitHub repository, correcting the year to 2025 based on the paper's arXiv ID.
• Including a Usage section with a practical Python code snippet to demonstrate how to load and use the model.

These improvements will make the model more discoverable, easier to understand, and more user-friendly on the Hugging Face Hub.