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