Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

Troubleshooting

Focus mode
Troubleshooting - Amazon SageMaker AI

The following sections give information about IAM permissions issues that might arise when creating a private model hub, as well as informationa bout how to resolve those issues.

ValidationException when calling the CreateModel operation: Could not access model data

This exception arises when you do not have the appropriate Amazon S3 permissions configured for your Admin role. For more information on the Amazon S3 permissions needed to create a private hub, see Step 3 in Create a private model hub.

Access Denied or Forbidden when calling create()

You are denied access when creating a private hub if you do not have the appropriate permissions to access the Amazon S3 bucket associated with the SageMaker Public models hub. For more information on the Amazon S3 permissions needed to create a private hub, see Step 3 in Create a private model hub.

PrivacySite termsCookie preferences
© 2025, Amazon Web Services, Inc. or its affiliates. All rights reserved.