SerezD

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mi_ml_gen

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This PR significantly enhances the model card by providing essential metadata and detailed information for the research artifact.

Key improvements include:

• Adding the license (MIT) and pipeline_tag (image-classification) to the metadata for better discoverability and context on the Hub.
• Linking directly to the associated paper: A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation.
• Including the full paper abstract to provide a comprehensive overview.
• Providing a clear link to the official GitHub repository.
• Adding installation instructions from the GitHub repository.
• Including a "Generate Multiple Views" sample usage section with a code snippet and illustrative images, demonstrating how to interact with a core functionality of the model.
• Adding the BibTeX citation for proper academic attribution.

The library_name has been omitted as no direct compatibility with Hugging Face libraries was found in the provided code evidence.

These updates aim to provide users with essential information quickly and enable them to interact with the model and its accompanying code effectively.