GitHub - replicate/cog-examples: Some models defined with Cog to show you how it works

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.

hello-world - Takes a string as input and returns a string as output. The simplest possible "model".
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 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 - Applies box blur to an input image
canary - Takes a string as input and returns a streaming string output
notebook - Using a Jupyter Notebook with Cog
hello-train - Demonstrates Cog's training API for fine-tuning