A CLIP (Contrastive Language-Image Pre-training) model finetuned on EntityNet-33M. The base model is ViT-B-32/datacomp_xl_s13b_b90k.
See the project page for the paper, code, usage examples, metrics, etc.
The model has seen ~13B images at a batch size of 90k during pretraining, and ~0.6B images at a batch size of 32k during finetuning.
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