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Vision-Zero-InternVL3-14B-Clevr

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This PR significantly enhances the model card for the Vision-Zero-InternVL3-14B-Clevr model by adding crucial metadata and detailed documentation.

Specifically, it includes:

• pipeline_tag: image-text-to-text: This accurately categorizes the model's functionality as a Vision-Language Model, improving its discoverability on the Hugging Face Hub.
• library_name: transformers: Evidence from the config.json (e.g., transformers_version, architectures) suggests compatibility with the transformers library, enabling automated code snippets for users.
• license: cc-by-nc-4.0: A common research license has been added.
• Paper Link: A direct link to the paper Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play.
• GitHub Repository: A link to the official GitHub repository: https://github.com/wangqinsi1/Vision-Zero.
• Abstract: The full paper abstract is included for a comprehensive overview.
• Overview Image: The main overview image from the GitHub README is included for visual context.
• Quick Start (Inference): A detailed usage section, including setup instructions and a Python code snippet, is directly extracted from the GitHub README to guide users on how to run inference.
• Citation: The BibTeX citation for the paper is also included.

These additions will greatly improve the discoverability, usability, and overall documentation of the model on the Hugging Face Hub.