What it does
CLIP was trained on a large number of images paired with text. Given a picture and a list of possible descriptions, it can pick the one that fits best, even for categories it was never specifically trained on.
This ability to match images and text has made it a building block in many other AI tools, such as image search and image generation. The repository provides the model and code to use it in Python.
Who it's for
Researchers and developers working on image search, image sorting or other image-and-text AI.
Can I use it without coding?
Developers only. It's used from Python code and needs some setup of AI libraries. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Privacy
- Runs on your own device: your data stays with you
- API key
- Not needed
Try it
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- License (MIT): Very permissive: free to use, change and share, including for business.
- More on staying safe
Where people are talking about it
- CLIP: Contrastive Language-Image Pre-Training (paper)Research paper · Mar 2021