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Use Training and Models to work with the training and model resources available in your project. The available features depend on configured services and permissions.

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Before you begin

Select the intended organization and project. Obtain access to the relevant training or model resources. Before deploying a model or starting a training operation, review its inputs, destination, and potential resource use.

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Inspect and upload a training bundle

  1. Open MLOps → Training → Bundles and select an available bundle and version to inspect its manifest, parameter schema, command preview, and files.
  2. To add a bundle, use Upload if available. Supply a version and select a ZIP or folder whose root contains training-bundle.yaml.
  3. Choose Upload and wait for the result. Open the uploaded version and verify its details and files.
Uploading a bundle makes it available for use; it does not itself establish that training has run. To choose a dataset and run training, follow Run a training job.

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Inspect models

  1. Open MLOps → Models → Registry and select the relevant model and version.
  2. Review the displayed model details, artifacts, and associated training information where available.
  3. If deployment controls are available and you are authorized to use them, open MLOps → Models → Deployments and review the target and confirmation details before deploying. Check the resulting deployment status and destination. See Deploy a model for cloud and edge workflows.

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Troubleshoot

Check the selected project and permissions if resources are missing. For an upload error, verify the bundle structure and version and read the displayed message. For a failed training or deployment operation, inspect its status and error before retrying; confirm whether any changes already took effect.