This PR significantly enhances the model card for V-Thinker by:
- Adding `pipeline_tag: image-text-to-text` to better categorize the model on the Hugging Face Hub and enable relevant search filters.
- Including `library_name: transformers` in the metadata, as indicated by `transformers_version` in `config.json` and general model structure, which will activate the automated "how to use" widget.
- Adding a prominent project logo from the GitHub repository.
- Providing direct links to the official paper on Hugging Face ([V-Thinker: Interactive Thinking with Images](https://huggingface.co/papers/2511.04460)) and the GitHub repository ([We-Math/V-Thinker](https://github.com/We-Math/V-Thinker)).
- Listing associated Hugging Face resources (models and datasets) for easy access.
- Incorporating a sample usage code snippet directly from the official GitHub README's "Quick Start" section to guide users on basic inference.
- Adding a citation section with the BibTeX entry from the …
