This PR enhances the model card by:
- Adding essential metadata including the license and library name. The `library_name` is set to `pytorch` as the model is implemented using PyTorch.
- Providing a clearer structure and description of the `xvr` package and its functionality.
- Including links to the Colab notebook and Hugging Face Model and Dataset pages, already present in the original README.
This improves discoverability and clarity for users interested in X-ray to volume registration. Since `xvr` is a training framework rather than a directly usable model, a `pipeline_tag` might not be as relevant. However, it's included for better searchability and discoverability on the Hugging Face Hub. More descriptive tags could be considered in future improvements.
