This PR enhances the model card by adding crucial metadata and a clear sample usage section:
- `pipeline_tag: robotics`: Categorizes the model for better discoverability under robotics/navigation tasks.
- `library_name: transformers`: Ensures compatibility with the Hugging Face Transformers library is indicated, enabling the automated "Use in Transformers" widget, based on `config.json` evidence.
- `license: cc-by-nc-sa-4.0`: Formally specifies the model's license, consistent with the existing badge and GitHub repository information.
- `tags`: Added `vision-language-model` and `navigation` for further discoverability.
- The official Hugging Face paper link is added under the title for immediate visibility.
- A Python code snippet for sample usage with the `transformers` library is included, adapted to demonstrate how to load and use the model for inference, based on the model's `transformers` compatibility and the typical usage pattern for such models.
These updates aim t…
