OpenCLIPImplementation of CLIP for learning image and text representations.
Implementation of CLIP for learning image and text representations.
OpenCLIP is a PyTorch toolkit for training and using models that relate images to text. Developers can load pretrained checkpoints, preprocess images, tokenize text, and compare their embeddings for tasks such as assigning labels from text descriptions. It runs as a Python package and supports training on paired image-text data supplied through CSV files or WebDataset shards.
OpenCLIP README · Reviewed 2026-10-28
- 01 / Feature notePretrained models
Load available model architectures and pretrained checkpoints with matching image transforms and tokenizers.
Feature source ↗ - 02 / Feature noteImage-text comparison
Encode images and text into embeddings and compare their similarity for text-based image labeling.
Feature source ↗
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Repository created
2021-07-28
Repository push
2026-10-29
2021-07-28GitHub release
2026-02-27 · v3.3.0Repository push
2026-10-29
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Published 2026-02-27
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