How to Run Inference in Codex with the Roboflow Plugin

Run inference in Codex with the Roboflow plugin: find a trained model, run detection or segmentation on your images, and visualize the results. Running inference means applying a trained model to an image to generate predictions. Codex is OpenAI’s coding agent: you describe a task in plain language, and it writes and runs the code for you. With the Roboflow plugin installed, Codex can find a trained model in your Roboflow workspace or on Roboflow Universe, run inference, and visualize the results, all from natural-language prompts. With the Roboflow plugin (opens in a new tab) in Codex, you can select a trained model, run inference, and visualize the results using natural-language prompts. In this tutorial, we will start with a simple example using an existing object detection model from a Roboflow workspace. We will then explore two RF-DETR (opens in a new tab) examples with more detailed visualizations and analytics. Before starting, open Codex with the Roboflow plugin installed and connected. Keep…