Integrate Model Zoo in Slack
with Axolo

Low code machine learning deployment: deploy your model to an HTTP endpoint with a single line of code. Model Zoo is a Continuous Integration application available in the GitHub marketplace.

Stop checking your email or your GitHub notifications. Axolo sends the notifications from Model Zoo in the corresponding pull request channel in Slack.

Axolo is a productivity app for engineering teams. We open one ephemeral channel for each of your pull request in order to improve engineers collaboration during code reviews.

Model Zoo is a model deployment platform-as-a-service with a focus on ease-of-use. You can think of it like Heroku, but for deploying machine learning models instead of generic apps. Deploy your model to an HTTP endpoint with a single line of code. Code Example Here is how you would deploy a TensorFlow model to a production-ready HTTP endpoint in just a single line of code: from modelzoo.tensorflow import deploy, predict # Train or load your TensorFlow here. model = train_model() # Deploy with one function. model_name = deploy(model) # Make predictions from Python. predictions = predict(model_name, image="test.jpg") Quickstarts Our product is free to try for deploying up to 3 models! Try one of our quickstarts on google colab and deploy your first model in a few minutes: TensorFlow: Deploy a computer vision model Hugging Face Transformers: Deploy a language model