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State MIT license within README
Browse files
README.md
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@@ -48,7 +48,7 @@ In this way, BioCLIP offers potential to aid biologists in discovery of new and
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- **Developed by:** Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, and Yu Su
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- **Model type:** Vision Transformer (ViT-B/16)
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- **License:** MIT
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- **Fine-tuned from model:** OpenAI CLIP, ViT-B/16
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This model was developed for the benefit of the community as an open-source product, thus we request that any derivative products are also open-source.
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- **Developed by:** Samuel Stevens, Jiaman Wu, Matthew J. Thompson, Elizabeth G. Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M. Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, and Yu Su
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- **Model type:** Vision Transformer (ViT-B/16)
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- **License:** MIT
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- **Fine-tuned from model:** OpenAI CLIP, ViT-B/16
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This model was developed for the benefit of the community as an open-source product, thus we request that any derivative products are also open-source.
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