Add pipeline tag, library name, and additional tags

#1
by nielsr HF Staff - opened

This PR enhances the model card by adding key metadata to improve discoverability and integration on the Hugging Face Hub:

  • Adds pipeline_tag: any-to-any to reflect the model's versatile multimodal capabilities, including generation and understanding tasks. This will ensure it appears in relevant pipeline filters.
  • Adds library_name: transformers as the model is compatible with the 🤗 Transformers library, enabling an automated "how to use" widget.
  • Adds several descriptive tags (e.g., multimodal, text-to-image, image-to-image, image-to-text, vqa) to further categorize the model's functionalities based on its described capabilities.

The existing comprehensive content, including the detailed Python inference example, paper links, and project/code links, remains unchanged.

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