Update README.md

README.md

@@ -41,6 +41,8 @@ In the following table we find the zero-shot ImageNet validation set accuracy:
 
 | Model | Top 1 Performance |
 | --- | :---: |
-| clip-ViT-B-32 | 63.3 |
-| clip-ViT-B-16 | 68.1 |
-| clip-ViT-L-14 | 75.4 |
+| [clip-ViT-B-32](https://huggingface.co/sentence-transformers/clip-ViT-B-32) | 63.3 |
+| [clip-ViT-B-16](https://huggingface.co/sentence-transformers/clip-ViT-B-16) | 68.1 |
+| [clip-ViT-L-14](https://huggingface.co/sentence-transformers/clip-ViT-L-14) | 75.4 |
+
+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)