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Made a small write up and experimental finetuning guide for MetaCLIP2 for Image Classification on Downstream Tasks. The blog titled `Fine Tuning MetaCLIP 2 for Image Classification on Downstream Tasks` demonstrates the step by step finetuning using CIFAR10 and is also flexible for adapting to other datasets. For more details, check out the linked blog below. š¤āļø
ā® Blog Article: https://huggingface.co/blog/prithivMLmods/metaclip2-downstream-finetune
ā® Demo Space[Zero-Shot Classification]: https://huggingface.co/spaces/prithivMLmods/metaclip-2-demo
Some other models
ā°āŗ MetaCLIP-2-Cifar10: https://huggingface.co/prithivMLmods/MetaCLIP-2-Cifar10
ā°āŗ MetaCLIP-2-Age-Range-Estimator: https://huggingface.co/prithivMLmods/MetaCLIP-2-Age-Range-Estimator
ā°āŗ MetaCLIP-2-Gender-Identifier: https://huggingface.co/prithivMLmods/MetaCLIP-2-Gender-Identifier
ā°āŗ MetaCLIP-2-Open-Scene: https://huggingface.co/prithivMLmods/MetaCLIP-2-Open-Scene
ā® Collection: https://huggingface.co/collections/prithivMLmods/metaclip2-image-classification-experiments
To know more about it, visit the app page or the respective model page!
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