Yurim0507

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vit-base-16-cifar10-unlearning

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This PR enhances the model card for Yurim0507/vit-base-16-cifar10-unlearning by:

• Adding pipeline_tag: image-classification to the metadata for better discoverability.
• Specifying library_name: pytorch based on the usage example.
• Moving the license: mit from the content to the YAML metadata.
• Including relevant tags like vit, cifar10, and machine-unlearning.
• Adding direct links to the associated paper (Unlearning Comparator), the project page (https://gnueaj.github.io/Machine-Unlearning-Comparator/), and the GitHub repository (https://github.com/gnueaj/Machine-Unlearning-Comparator/) at the top of the README for quick access.
• Adding the BibTeX citation at the end of the model card.
• Correcting a typo in the load_model function within the sample usage code (get_vit_base16 to vit_base_16).

These updates make the model card more comprehensive, discoverable, and user-friendly.