zhixiangwei/vlm1b-hqclip-xlarge-vitl14-clipa · Improve model card: add pipeline tag, library name, paper, project page, and code links

This PR significantly enhances the model card by:

Adding pipeline_tag: zero-shot-image-classification to the metadata, ensuring the model is easily discoverable for relevant tasks on the Hub (https://huggingface.co/models?pipeline_tag=zero-shot-image-classification).
Specifying library_name: transformers in the metadata, indicating compatibility with the Hugging Face Transformers library and enabling better integration and usability.
Including a direct link to the paper: HQ-CLIP: Leveraging Large Vision-Language Models to Create High-Quality Image-Text Datasets and CLIP Models.
Adding a link to the official project page: https://zxwei.site/hqclip/.
Providing a link to the code repository: https://github.com/microsoft/HQ-CLIP.
Removing the redundant license declaration from the content, as it's already present in the metadata.

These changes provide more comprehensive information about the model and improve its discoverability and usability on the Hugging Face Hub.