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BRONet_ImageNet_EDM2

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This PR significantly improves the model card for BRONet by:

• Adding pipeline_tag: image-classification to ensure discoverability on the Hugging Face Hub.
• Specifying library_name: pytorch as the model is implemented using PyTorch.
• Including relevant tags like certified-robustness, lipschitz-networks, and computer-vision.
• Populating the main content with the paper's abstract, a detailed overview of the contributions, comprehensive getting started instructions, a table of pre-trained models with links to their checkpoints, and the full BibTeX citation.
• Adding direct links to the paper, project page, and the GitHub repository for easy access to more information and code.

This provides a comprehensive and informative overview for users interested in the BRONet model.