This PR significantly enhances the model card for **VeriCoder**, aligning it with Hugging Face best practices and providing crucial information for users.
Key updates include:
- **Paper Details**: Explicitly links the model to its paper, "[VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation](https://huggingface.co/papers/2504.15659)", along with an overview of its core functionality.
- **GitHub Repository**: Includes a direct link to the official GitHub repository for easy access to the codebase and additional resources.
- **Pipeline Tag**: Addition of the `pipeline_tag: text-generation` metadata, which correctly categorizes the model and improves its discoverability on the Hugging Face Hub (e.g., at https://huggingface.co/models?pipeline_tag=text-generation).
- **Library Name**: Integration with the `transformers` library via the `library_name` tag, which will enable the "how to use" widget on the model page, providing automated code s…
