# 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:


YOLO-World	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.	/pages/V7SxOhTUApOAvbWL7nRr
CLIP	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, built by OpenAI. Available through the Roboflow API and on-device using Roboflow Inference.	/pages/4eqEwUMZmDYYOMnTyeYA
OCR	Use DocTR to turn words and text within images into machine-readable text.	/pages/HNerxmFDLX0DXUSGMUf6

You can also deploy these models [on your own hardware with Roboflow Inference](https://inference.roboflow.com/foundation/about/). \\ --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.roboflow.com/deploy/serverless/foundation-models.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.