Where Are Models Generated by ExeML Stored? What Other Operations Are Supported?
Unified Model Management
For an ExeML project, after the automatic training is complete, the generated model is automatically displayed on the Model Management > Models page. See the following figure. The model name is automatically generated by the system. Its prefix is the same as the name of the ExeML project for easy identification.
Models generated by ExeML cannot be downloaded.
What Other Operations Are Supported for Models Generated by ExeML?
- Deploying models as real-time, edge, and batch services
On the ExeML page, models can only be deployed as real-time services. You can deploy models as batch services or edge services on the Model Management > Models page.
It should be noted that resources with other specifications, such as dedicated resource pools and GPU resources, can be used when you create a model deployment task on the Model Management > Models page. On the ExeML project page, only ExeML (CPU) can be used to deploy models.
- Publishing models to the AI market
You can publish the generated models to AI Gallery and share them with other users.
- Creating a new version
When creating a new version, you can select a meta model only from a ModelArts training job, OBS, model template, or custom image. You cannot create a new version from the original ExeML project.
- Deleting a model or its version
Last Article: How Do I Perform Incremental Training in an ExeML Project?
Next Article: Upgrading a Project Version
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