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CLIP-ViT-B-32-256x256-DataComp-s34B-b86K

Zero-Shot Image Classification

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mehdidc commited on Jun 11

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@@ -29,7 +29,7 @@ pipeline_tag: zero-shot-image-classification
 A CLIP ViT-B/32 model trained with the DataComp-1B (https://github.com/mlfoundations/datacomp) using OpenCLIP (https://github.com/mlfoundations/open_clip) at 256x256 resolution.
-Model training done on the [JURECA](https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/jureca) cluster.
 # Uses

 A CLIP ViT-B/32 model trained with the DataComp-1B (https://github.com/mlfoundations/datacomp) using OpenCLIP (https://github.com/mlfoundations/open_clip) at 256x256 resolution.
+Model training done on the [JURECA](https://www.fz-juelich.de/en/ias/jsc/systems/supercomputers/jureca) cluster by Mehdi Cherti.
 # Uses