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BRONet_ImageNet

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This PR significantly enhances the model card for the BRONet model by:

• Linking to the official paper: Enhancing Certified Robustness via Block Reflector Orthogonal Layers and Logit Annealing Loss
• Adding links to the project page and GitHub repository for easy access to more information and code.
• Including a pipeline_tag: image-classification to improve discoverability on the Hugging Face Hub, as the model is evaluated on image classification datasets like CIFAR-10/100 and ImageNet.
• Specifying library_name: pytorch to indicate compatibility, as it is an official PyTorch implementation.
• Providing a detailed description of the model, its methodology, installation instructions, and sample usage for pre-trained models, making the model more accessible and understandable for users.