> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/deploy/serverless/foundation-models.md).

# Foundation Models

Foundation models are large, pre-trained models that can be used on their own, or as part of a vision workflow, to solve a computer vision problem.

You can use Roboflow cloud APIs to run the following models:

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td><strong>YOLO-World</strong></td><td>YOLO-World is a zero-shot object detection model that allows you to perform object detection without any training, just by describing the items you want to detect.</td><td><a href="/pages/V7SxOhTUApOAvbWL7nRr">/pages/V7SxOhTUApOAvbWL7nRr</a></td></tr><tr><td><strong>CLIP</strong></td><td>CLIP understands images and text together, allowing it to associate them in a semantically meaningful way by being trained on a vast amount of internet text and images, <a href="https://openai.com/index/clip/">built by OpenAI</a>. Available through the Roboflow API and on-device using Roboflow Inference.</td><td><a href="/pages/4eqEwUMZmDYYOMnTyeYA">/pages/4eqEwUMZmDYYOMnTyeYA</a></td></tr><tr><td><strong>OCR</strong></td><td>Use DocTR to turn words and text within images into machine-readable text.</td><td><a href="/pages/HNerxmFDLX0DXUSGMUf6">/pages/HNerxmFDLX0DXUSGMUf6</a></td></tr></tbody></table>

You can also deploy these models [on your own hardware with Roboflow Inference](https://inference.roboflow.com/foundation/about/).

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