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DFN5B-CLIP-ViT-H-14

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vaishaal commited on Oct 30, 2023

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@@ -9,7 +9,7 @@ This model was trained on 5B images that were filtered from a pool of 43B uncura
 (12.8B image-text pairs from CommonPool-12.8B + 30B additional public image-text pairs).
 This model has been converted to PyTorch from the original JAX checkpoints from Axlearn (https://github.com/apple/axlearn).
-These weights are usable in both OpenCLIP (image + text).
 ## Model Details

 (12.8B image-text pairs from CommonPool-12.8B + 30B additional public image-text pairs).
 This model has been converted to PyTorch from the original JAX checkpoints from Axlearn (https://github.com/apple/axlearn).
+These weights are directly usable in OpenCLIP (image + text).
 ## Model Details