This PR significantly enhances the model card by incorporating rich, detailed content from the GitHub repository, making it more informative and useful for the community.
Key improvements include:
- Adding the `pipeline_tag: table-question-answering` to the metadata, which improves discoverability on the Hugging Face Hub.
- Adding a direct link to the paper: [Orion-Bix: Bi-Axial Attention for Tabular In-Context Learning](https://huggingface.co/papers/2512.00181).
- Listing the authors of the paper: Mohamed Bouadi, Pratinav Seth, Aditya Tanna, Vinay Kumar Sankarapu.
- Including a link to the project homepage: https://www.lexsi.ai/.
- Integrating detailed sections on the model's approach, architecture, installation, usage, preprocessing, and performance metrics directly from the GitHub README.
- Preserving the `logo.png` image path to maintain existing functionality while using `figures/` paths for new performance images from the GitHub README.
- Updating the citation section with the m…
