CLIP

Contrastive Language-Image Pretraining (CLIP) model pre-trained on 2.5 billion data points of CommonCrawl 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 Demystifying CLIP Data. The weights were converted from the b32_fullcc2.5b.pt file presented in the original repository.

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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-fullcc2.5b

MetaCLIP (CommonCrawl-2.5B)

Collection

5 items • Updated Jul 7