InternRobotics

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VLN-PE

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Intern Robotics 261

This PR enhances the model card by:

• Adding the pipeline_tag: robotics to better categorize the model on the Hub.
• Specifying the license: mit for the model's code, as indicated in the GitHub repository.
• Including a direct link to the paper: Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities.
• Adding a link to the project page: https://crystalsixone.github.io/vln_pe.github.io/.
• Adding a link to the GitHub repository: https://github.com/InternRobotics/InternNav.
• Adding the paper's abstract for better context.

These additions will make the model more discoverable and provide clearer information for users.