Update README.md

mlfoundations · Jun 8, 2024 · c074506 · c074506
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@@ -24,11 +24,11 @@ We provide more details about our full collection of pretrained models [here](do
 | ViT-L/14  | DataComp-1B  | 224px | 13B | 79.2% |
 | ViT-G/14  | LAION-2B  | 224px | 34B | 80.1% |
 |  |  |   |   |  |
-| ViT-L/14 [(Original CLIP)](https://arxiv.org/abs/2103.00020) | OpenAI's WIT | 224px | 13B | 75.5% | 
+| ViT-L/14 [(Original CLIP)](https://arxiv.org/abs/2103.00020) | WIT | 224px | 13B | 75.5% | 
 | ViT-SO400M/14 [(SigLIP)](https://arxiv.org/abs/2303.15343) | WebLI | 224px | 45B | 82.0% | 
-| ViT-SO400M-14-SigLIP-384 [(SigLIP)](https://arxiv.org/abs/2303.15343) | 384px | Webli | 45B | 83.1% |
+| ViT-SO400M-14-SigLIP-384 [(SigLIP)](https://arxiv.org/abs/2303.15343) |  WebLI | 384px | 45B | 83.1% |
 | ViT-H/14-quickgelu [(DFN)](https://arxiv.org/abs/2309.17425) | DFN-5B | 224px | 39B | 83.4% | 
-| ViT-H-14-378-quickgelu [(DFN)](https://arxiv.org/abs/2309.17425) | DFN-5B | 378px | DFN-5B | 44B | 84.4% |
+| ViT-H-14-378-quickgelu [(DFN)](https://arxiv.org/abs/2309.17425) | DFN-5B | 378px | 44B | 84.4% |
 
 Model cards with additional model specific details can be found on the Hugging Face Hub under the OpenCLIP library tag: https://huggingface.co/models?library=open_clip.