A CLIP (Contrastive Language-Image Pre-training) model trained from scratch on the LivingThings-10M subset of the EntityNet-33M dataset.

See the project page for the paper, code, usage examples, metrics, etc.

The model has seen ~0.2B images at a batch size of 8k.

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