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.
