BiliSakura

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RSCCM

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This PR enhances the model card by:

• Adding pipeline_tag: image-to-text to improve discoverability on the Hugging Face Hub (https://huggingface.co/models?pipeline_tag=image-to-text).
• Including library_name: transformers to enable the automated "how to use" widget, as the model uses transformers classes (Qwen2_5_VLForConditionalGeneration, AutoProcessor).
• Adding additional relevant tags: remote-sensing, change-detection, and image-captioning.
• Updating the paper link in the content to the official Hugging Face paper page (https://huggingface.co/papers/2509.01907).
• Adding explicit links to the GitHub repository (https://github.com/Bili-Sakura/RSCC) and project page (https://bili-sakura.github.io/RSCC/).
• Updating the BibTeX citation for the paper to use the arXiv URL for accuracy.

These changes will make the model more accessible and easier to understand for users.