Model Registry Overview

The C3 Agentic AI Platform provides you with robust ML model deployment and health checks. Use the C3 Agentic AI Platform to ensure that you can reproduce, deploy, and scale models from training. Also, the platform enables of sharing models across applications, with capabilities to register, load, and search for existing registered models from other users.

You can add, update and version, load, and find models using C3 AI Studio or C3 provided APIs.

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Access Model Ops tab in C3 AI Studio

Navigate to C3 AI Studio. Choose your application from the list.

You can access the Model Ops tab in the left nav bar. If the Model Ops option is not visible, try expanding the left nav bar by selecting the arrows on the top left of the webpage.

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Load a model from the Model Registry

Load models from the Model Registry to your environment using the ModelRegistry.loadMlPipe and ModelRegistry.loadMlModel methods.

# Load entry from the Model Registry
loaded_pipeline = registry.loadMlPipe(pathOrUri = entry.uri)

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See also

• Add models to the C3 AI Model Registry
• Find models in the C3 AI Model Registry
• Update and version models
• Approve Models in the Model Registry
• C3 AI Data Science and Machine Learning Guide