OpenAIReleased Feb 2021MIT
We don't benchmark CLIP.
It is an open-weight model from OpenAI under the MIT license, and free for commercial use.
OpenAI CLIP (Contrastive Language-Image Pretraining) is a vision-language model released in January 2021 by OpenAI. It jointly trains an image encoder and a text encoder to produce matching embeddings for image-caption pairs, using a contrastive objective over WebImageText (WIT), a dataset of 400 million image-text pairs collected from the public web. By learning to associate images with free-form text rather than a fixed set of class labels, CLIP produces a shared embedding space that enables zero-shot classification with arbitrary vocabularies at inference time.
CLIP is released under MIT, a permissive license. The CLIP license lets you use, modify, and sell work built on the model, with the copyright notice as the only real obligation and no requirement to open-source related code changes.
MIT grants no explicit patent license and disclaims all warranties. If patent exposure is a concern for your deployment, review it with counsel before launch.
Read the full MIT license ↗No commercial license is needed for CLIP: permissive terms let you keep related code private while deploying commercially.
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Talk to salesThis model is released under the MIT License, a short and permissive open-source license that allows commercial use, modification, and redistribution.
Yes. Under the terms of the MIT license, you can freely use this model for commercial purposes. You must retain the copyright notice and license text when redistributing.
License information is provided as a guide and is not legal advice.
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