How-to guides

Beta

This product is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms. Pre-GA products are available "as is" and might have limited support. For more information, see the launch stage descriptions.

Using AI Hub

• Finding assets on AI Hub

  Learn how to find assets on AI Hub.

• Uploading assets on AI Hub

  Learn about uploading assets on AI Hub.

• Sharing assets on AI Hub

  Learn how to share assets with your colleagues on AI Hub.

• Deleting shared assets from AI Hub

  Learn how to remove an asset from AI Hub.

Kubeflow pipelines and components

• Deploying a pipeline

  Find a machine learning pipeline (ML) on AI Hub and deploy the pipeline to Kubeflow Pipelines.

• Using a pipeline component

  Find and reuse a pipeline component on AI Hub.

• Uploading a pipeline or component

  Upload an ML pipeline or component on AI Hub.

• Setting up a shared Container Registry

  Set up a central Google Cloud project for your organization, so that you can share pipeline containers in Container Registry across your organization.

Notebooks

• Finding and using a notebook

  Find and use a Jupyter notebook on AI Hub.

• Uploading a notebook

  Upload a Jupyter notebook on AI Hub.

Services or APIs

• Finding a service or API

  Find and use a service or API on AI Hub.

Technical guides

• Learning from a technical guide

  Find and learn from a technical guide on AI Hub.

TensorFlow modules

• Finding and using a TensorFlow module

  Find a TensorFlow module on AI Hub and use the TensorFlow Hub API to add the module to your code.

Trained model

• Using a trained model

  Find and use trained ML models on AI Hub.

• Uploading a trained model

  Upload a trained ML model on AI Hub.

VM images

• Finding and using a virtual machine image

  Find a virtual machine image on AI Hub and use it to create an instance on Google Cloud.