kanashi6

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UniLIP-3B

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This PR significantly enhances the model card for UniLIP-3B by:

• Adding the pipeline_tag: any-to-any, accurately reflecting the model's unified multimodal capabilities in understanding, generation, and editing.
• Specifying library_name: transformers as the model is compatible with the 🤗 Transformers library (evidence from config.json showing transformers_version). This enables automated code snippets for easy usage on the Hub.
• Updating the paper link to point directly to the Hugging Face papers page: UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing.
• Including the full paper abstract, providing essential context about the model's design and contributions.
• Adding detailed "Main Results" tables to showcase the model's performance across various tasks.
• Integrating a comprehensive "Quick Start" section, including installation instructions and "Simple Inference" code snippets for image generation, understanding, and omni-potent tasks, directly from the official GitHub repository. The model_path in the code has been updated to refer to kanashi6/UniLIP-3B for direct usability.
• Including "Acknowledgements" and "Citation" sections for proper attribution.

These changes will make the model more discoverable, informative, and user-friendly on the Hugging Face Hub.