MLServer CLI¶

The MLServer package includes a mlserver CLI designed to help with some of the common tasks involved with a model’s lifecycle. Below, you can find the full list of supported subcommands. Note that you can also get a similar high-level outline at any time by running:

mlserver --help

Commands¶

mlserver¶

Command-line interface to manage MLServer models.

mlserver [OPTIONS] COMMAND [ARGS]...

Options

--version¶

Show the version and exit.

build¶

Build a Docker image for a custom MLServer runtime.

mlserver build [OPTIONS] FOLDER

Options

-t, --tag <tag>¶
--no-cache¶

Arguments

FOLDER¶

Required argument

dockerfile¶

Generate a Dockerfile

mlserver dockerfile [OPTIONS] FOLDER

Options

-i, --include-dockerignore¶

Arguments

FOLDER¶

Required argument

init¶

Generate a base project template

mlserver init [OPTIONS]

Options

-t, --template <template>¶

start¶

Start serving a machine learning model with MLServer.

mlserver start [OPTIONS] FOLDER

Arguments

FOLDER¶

Required argument