This PR significantly enhances the model card for "Image Tokenizer Needs Post-Training" (RobusTok).
Key improvements include:
- Adding the `pipeline_tag: unconditional-image-generation` to improve discoverability on the Hugging Face Hub (e.g., https://huggingface.co/models?pipeline_tag=unconditional-image-generation).
- Linking the model directly to its paper: [Image Tokenizer Needs Post-Training](https://huggingface.co/papers/2509.12474).
- Including links to the project page and the GitHub repository for easy access to more information and code.
- Providing a summary of the model's purpose and key features based on the paper's abstract and GitHub README.
- Including the Model Zoo table with direct links to weights.
- Directing users to the GitHub repository for detailed usage examples and installation instructions, as the model's inference requires custom scripts.
- Adding a visualization demonstrating the improvements.
- Including the academic citation for the work.
Please review …
