code: def load(self):
      if os.path.exists(self._path):
          registered_model_info = RegisteredModelVersionInfo.from_json(
              path=self._path
          )
          with _use_tracking_uri(self._tracking_uri), chdir(
              self._recipe_root
          ):
              return MlflowClient().get_model_version(
                  name=registered_model_info.name,
                  version=registered_model_info.version,
              )
      log_artifact_not_found_warning(self._name, self._step_name)
      return None
  
imports: import json
  import logging
  import os
  from abc import ABC, abstractmethod
  import mlflow
  from mlflow.recipes.utils.execution import get_step_output_path
  from mlflow.tracking import MlflowClient
  from mlflow.tracking._tracking_service.utils import _use_tracking_uri
  from mlflow.utils.file_utils import chdir
label_desc: Use image node_id 4 for calling the ModelVersionArtifact obj's underlying member method code with example usage: obj.load() and returns: None, MlflowClient