ymccccc

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GS-Reasoner

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This PR significantly enhances the model card for GS-Reasoner by:

• Adding pipeline_tag: image-text-to-text to improve discoverability on the Hub for models performing 3D visual grounding and spatial reasoning.
• Specifying library_name: transformers to enable the automated "Use in Transformers" widget, as evidenced by LlavaQwenForCausalLM architecture, LlavaProcessor, Qwen2Tokenizer, and the usage of LlavaAgent within the project.
• Including a direct link to the paper on Hugging Face: Reasoning in Space via Grounding in the World.
• Adding links to the project page (https://yiming-cc.github.io/gs-reasoner/) and the GitHub repository (https://github.com/WU-CVGL/GS-Reasoner).
• Providing a detailed model description based on the paper's abstract.
• Including information about available model weights.
• Adding a "Sample Usage" section with a Python code snippet extracted from the GitHub project's implied usage, demonstrating how to load and use the model with LlavaAgent.
• Adding a BibTeX citation for the paper.

These additions will improve the model's discoverability, usability, and documentation on the Hugging Face Hub.