replicate/cog-examples

replicate/cog-examples

Description: Some models defined with Cog to show you how it works

Language: Python

Stars: 177

Forks: 60

Open issues: 2

Created: 2021-03-25T18:35:09Z

Pushed: 2026-04-16T17:50:49Z

Default branch: main

Fork: no

Archived: no

README:

Cog example models

This repo contains example machine learning models you can use to try out Cog.

Once you've got a working model and want to publish it so others can see it in action, check out replicate.com/docs.

Examples in this repo

• [hello-world](hello-world) - Takes a string as input and returns a string as output. The simplest possible "model".
• [resnet](resnet) - Classifies images using ResNet. This is a good example of a deep learning model that's small enough to run without a GPU if you need to do that for demos.
• [z-image-turbo](z-image-turbo) - Z-Image-Turbo image generation model. This is an example of a modern generative model. It requires a GPU, but it's small enough that it's fast to run, so makes for a good demo.
• [blur](blur) - Applies box blur to an input image
• [canary](canary) - Takes a string as input and returns a streaming string output
• [notebook](notebook) - Using a Jupyter Notebook with Cog
• [hello-train](hello-train) - Demonstrates Cog's training API for fine-tuning