Preparing a model for deployment

After you train a model, you can deploy it by using the OpenShift AI model serving capabilities.

To prepare a model for deployment, you must move the model from your workbench to your S3-compatible object storage. Use the connection that you created in the Storing data with connections section and upload the model from a notebook.

Prerequisites

  • You created the My Storage connection and have added it to your workbench.

    Data storage in workbench
Procedure

  1. In your JupyterLab environment, open the 2_save_model.ipynb file.

  2. Follow the instructions in the notebook to make the model accessible in storage.

Verification

When you have completed the notebook instructions, the models/fraud/1/model.onnx file is in your object storage and it is ready for your model server to use.

Next step

Deploying a model