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clip-ViT-B-32

Sentence Similarity sentence-transformers feature-extraction Inference Endpoints
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@@ -41,6 +41,8 @@ In the following table we find the zero-shot ImageNet validation set accuracy:
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  | Model | Top 1 Performance |
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  | --- | :---: |
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- | clip-ViT-B-32 | 63.3 |
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- | clip-ViT-B-16 | 68.1 |
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- | clip-ViT-L-14 | 75.4 |
 
 
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  | Model | Top 1 Performance |
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  | --- | :---: |
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+ | [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) | 63.3 |
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+ | [clip-ViT-B-16](https://huggingface.co/sentence-transformers/clip-ViT-B-16) | 68.1 |
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+ | [clip-ViT-L-14](https://huggingface.co/sentence-transformers/clip-ViT-L-14) | 75.4 |
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+ For a multilingual version of the CLIP model for 50+ languages have a look at: [clip-ViT-B-32-multilingual-v1](https://huggingface.co/sentence-transformers/clip-ViT-B-32-multilingual-v1)