tanhuajie2001

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Reason-RFT-Zero-Spatial-Transformation-Qwen2-VL-7B

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This PR enhances the model card by:

• Adding the pipeline_tag: image-text-to-text to the metadata, ensuring better discoverability on the Hub for visual reasoning tasks.
• Adding library_name: transformers to the metadata, as the model's configuration (config.json, tokenizer_config.json) indicates compatibility with the 🤗 Transformers library, which will enable the automated "How to use" widget.
• Updating the main title to Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models for improved clarity and relevance.
• Adding a prominent link to the Hugging Face paper page: Reason-RFT: Reinforcement Fine-Tuning for Visual Reasoning of Vision Language Models.

These changes will improve the model's discoverability and provide clearer information for users.