CLIP

Contrastive Language-Image Pretraining (CLIP) model pre-trained on LAION-2B at resolution 224x224. It was introduced in the paper Learning Transferable Visual Models From Natural Language Supervision and further reproduced in the follow-up paper Reproducible scaling laws for contrastive language-image learning. The weights were converted from the laion/CLIP-ViT-B-32-laion2B-s34B-b79K presented in the OpenCLIP LAION-2B collections.

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Model size

151M params

Tensor type

I64

F32

Inference Examples

Zero-Shot Image Classification

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Collection including cs-giung/clip-vit-base-patch32-laion2b

OpenCLIP (LAION-2B)

Collection

6 items • Updated Jul 7