ling1996

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GeoReasoner_Models

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This PR significantly enhances the model card for GeoReasoner by:

• Updating the license from mit to cc-by-nc-4.0. This change is based on the "Usage and License Notices" in the GitHub README, which states that collected data "cannot be used for commercial purposes," making a non-commercial license like cc-by-nc-4.0 more appropriate than the permissive mit license.
• Adding the pipeline_tag: image-text-to-text to accurately reflect the model's functionality as a Large Vision-Language Model processing images and generating text.
• Including a direct link to the associated paper: GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language Model.
• Adding a link to the official GitHub repository: https://github.com/lingli1996/GeoReasoner.
• Providing a concise description of the model based on the paper's abstract.
• Integrating detailed "Usage and License Notices," "Description," "Acknowledgments," and "Citation" sections directly from the GitHub README for comprehensive information.

The library_name tag is intentionally omitted as there is no direct code evidence in the repository's README for out-of-the-box compatibility with a specific library like transformers for the GeoReasoner LoRA weights themselves, adhering to the strict guidelines for adding this metadata. Similarly, a runnable sample usage code snippet is not added, as the GitHub README primarily provides setup steps and a command to run a script, rather than a self-contained, direct Python code example for general use on the Hugging Face Hub.