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.
