zhixiangwei

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hqclip-openai-large-ft-vlm1b

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This PR significantly enhances the model card for zhixiangwei/hq-clip-vit-large-patch14 by:

• Adding pipeline_tag: zero-shot-image-classification to allow discovery on the Hub's task filters.
• Adding library_name: transformers to indicate compatibility with the 🤗 Transformers library, which enables the "Use in Transformers" button.
• Including a link to the paper (HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models).
• Adding links to the project page (https://zxwei.site/hqclip/) and the code repository (https://github.com/microsoft/HQ-CLIP).
• Adding the full paper abstract for comprehensive context.
• Providing a clear sample usage snippet for zero-shot image classification.
• Adding a BibTeX citation for the paper.
• Removing the redundant license metadata present in the markdown content.