This pull request enhances the model card for the "Teeth Visual Expert Models" by:
- Adding the `pipeline_tag: object-detection` to improve discoverability on the Hugging Face Hub, as the models primarily perform detection and instance segmentation.
- Specifying the `license: cc-by-nc-4.0` for clarity regarding usage rights.
- Including a direct link to the associated paper: [OralGPT-Omni: A Versatile Dental Multimodal Large Language Model](https://huggingface.co/papers/2511.22055).
- Providing a link to the project's GitHub repository: https://github.com/isbrycee/OralGPT.
These additions provide more comprehensive information and improve the model's discoverability and adherence to Hugging Face Hub best practices.
Rename maskdino_R50_bs16_50ep_4s_dowsample1_2048_periapical_x-ray_6diseases.yaml to maskdino_SwinL_bs16_50ep_4s_dowsample1_2048_periapical_x-ray_6diseases.yaml
Rename Teeth_Visual_Experts_DINO_Swinl_5scale_x-ray_periapical_lesions_3classes.pth to Teeth_Visual_Experts_DINO_r50_5scale_x-ray_periapical_lesions_3classes.pth