class_docstr: Handles artifacts associated with a model version in the model registry via URIs of the form:
    - `models:/<model_name>/<model_version>`
    - `models:/<model_name>/<stage>`  (refers to the latest model version in the given stage)
    - `models:/<model_name>/latest` (refers to the latest of all model versions)
  It is a light wrapper that resolves the artifact path to an absolute URI then instantiates
  and uses the artifact repository for that URI.
docstr: Download the file at the specified relative remote path and saves
  it at the specified local path.
  
  :param remote_file_path: Source path to the remote file, relative to the root
                           directory of the artifact repository.
  :param local_path: The path to which to save the downloaded file.
docstr_tok: ["Download","the","file","at","the","specified","relative","remote","path","and","saves","it","at","the","specified","local","path",".",":","param","remote_file_path",":","Source","path","to","the","remote","file",",","relative","to","the","root","directory","of","the","artifact","repository",".",":","param","local_path",":","The","path","to","which","to","save","the","downloaded","file","."]
code: def _download_file(self, remote_file_path, local_path):
      """
      Download the file at the specified relative remote path and saves
      it at the specified local path.
  
      :param remote_file_path: Source path to the remote file, relative to the root
                               directory of the artifact repository.
      :param local_path: The path to which to save the downloaded file.
      """
      self.repo._download_file(remote_file_path, local_path)
  
imports: import logging
  import os
  import urllib.parse
  import mlflow
  from mlflow.exceptions import MlflowException
  from mlflow.store.artifact.artifact_repo import ArtifactRepository
  from mlflow.store.artifact.databricks_models_artifact_repo import DatabricksModelsArtifactRepository
  from mlflow.store.artifact.unity_catalog_models_artifact_repo import UnityCatalogModelsArtifactRepository
  from mlflow.store.artifact.utils.models import get_model_name_and_version, is_using_databricks_registry
  from mlflow.utils.file_utils import write_yaml
  from mlflow.utils.uri import add_databricks_profile_info_to_artifact_uri, get_databricks_profile_uri_from_artifact_uri, is_databricks_unity_catalog_uri
label_desc: Use image node_id 11 for calling the ModelsArtifactRepository obj's underlying member method code with example usage: obj._download_file(remote_file_path, local_path) without return types