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