Senqiao

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VisionThink-General

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This PR significantly enhances the model card for Senqiao/VisionThink-General by:

• Adding pipeline_tag: image-text-to-text to enable better discoverability for multimodal tasks on the Hugging Face Hub.
• Specifying library_name: transformers as the model is compatible with the Hugging Face Transformers library.
• Including additional relevant tags such as vision-language-model, multimodal, and qwen.
• Providing a detailed description of the model, summarizing its core contributions from the paper.
• Including a direct link to the official paper: VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning.
• Adding a direct link to the official GitHub repository for the code: https://github.com/dvlab-research/VisionThink.
• Incorporating key highlights of the model's capabilities.
• Adding installation instructions and a practical Python code snippet for quick inference using transformers.
• Including the citation and acknowledgement sections.

These additions will make the model more discoverable, informative, and user-friendly for researchers and practitioners.