ML
The `hanzo ml` commands.
Also for this capability: API · CLI · MCP · SDKs
Model serving: deploy a model behind an endpoint and call it.
hanzo ml models listEvery command takes --json for the raw response and --help for its own flags. Sign in once with hanzo auth login; the commands below use that session, and the org they act in is the one it carries.
| Command | What it does |
|---|---|
hanzo ml health | Whether model serving can actually work right now |
models
| Command | What it does |
|---|---|
hanzo ml models create | Deploys one inference model for the caller's org, and answers 201 with the model as Kubernetes admitted it. |
hanzo ml models get <name> | Returns one deployed inference model. |
hanzo ml models list | Lists the inference models deployed in the caller's org. |
hanzo ml models predict <name> | Run inference against one of your deployed models |
hanzo ml models rm <name> | Deletes a deployed inference model. |
hanzo ml models update <name> | Change a deployed model in place |
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