code: def commands():
      """
      Deploy MLflow models to custom targets. Support is currently installed for
      the following targets: {targets}. Run `mlflow deployments help --target-name <target-name>` for
      more details on the supported URI format and config options for a given target.
  
      To deploy to other targets, you must first install an
      appropriate third-party Python plugin. See the list of known community-maintained plugins
      at https://mlflow.org/docs/latest/plugins.html#community-plugins.
  
      You can also write your own plugin for deployment to a custom target. For instructions on
      writing and distributing a plugin, see
      https://mlflow.org/docs/latest/plugins.html#writing-your-own-mlflow-plugins.
      """
  
imports: import json
  import sys
  from inspect import signature
  import click
  from mlflow.deployments import interface
  from mlflow.environment_variables import MLFLOW_DEPLOYMENTS_CONFIG
  from mlflow.utils import cli_args
  from mlflow.utils.annotations import experimental
  from mlflow.utils.proto_json_utils import NumpyEncoder, _get_jsonable_obj
label_desc: Use image node_id 2 for calling a global function with example usage: commands() without return types