AdaptVision

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AdaptVision-7B

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This PR significantly improves the model card for AdaptVision by enriching its content and metadata.

Key changes include:

• Adding pipeline_tag: image-text-to-text to the metadata for better discoverability and categorization on the Hub, reflecting the model's Vision-Language capabilities.
• Adding library_name: transformers to the metadata, as evidence from config.json ("architectures": ["Qwen2_5_VLForConditionalGeneration"]) and the GitHub README (pip install transformers==4.51.0) indicates compatibility with the Transformers library. This enables the automated "how to use" widget on the model page.
• Enhancing the existing arXiv link by formatting it as [AdaptVision: Efficient Vision-Language Models via Adaptive Visual Acquisition](https://arxiv.org/abs/2512.03794).
• Adding direct links to the official project page and the GitHub repository for further details and code access.
• Including a concise description of the AdaptVision model, derived from the paper's abstract.
• Adding the BibTeX citation for proper academic referencing.

These updates aim to provide users with a more comprehensive and well-structured overview of the AdaptVision model.