class_docstr: Client of an MLflow Model Registry Server that creates and manages registered
  models and model versions.
docstr: :param name: Name of the containing registered model.
  :param version: Version number of the model version.
  :return: A single :py:class:`mlflow.entities.model_registry.ModelVersion` object.
docstr_tok: [":","param","name",":","Name","of","the","containing","registered","model",".",":","param","version",":","Version","number","of","the","model","version",".",":","return",":","A","single",":","py",":","class",":","`","mlflow.entities.model_registry.ModelVersion","`","object","."]
code: def get_model_version(self, name, version):
      """
      :param name: Name of the containing registered model.
      :param version: Version number of the model version.
      :return: A single :py:class:`mlflow.entities.model_registry.ModelVersion` object.
      """
      return self.store.get_model_version(name, version)
  
imports: import logging
  from mlflow.entities.model_registry import ModelVersionTag, RegisteredModelTag
  from mlflow.exceptions import MlflowException
  from mlflow.store.model_registry import SEARCH_MODEL_VERSION_MAX_RESULTS_DEFAULT, SEARCH_REGISTERED_MODEL_MAX_RESULTS_DEFAULT
  from mlflow.tracking._model_registry import DEFAULT_AWAIT_MAX_SLEEP_SECONDS, utils
  from mlflow.utils.arguments_utils import _get_arg_names
label_desc: Use image node_id 16 for calling the ModelRegistryClient obj's underlying member method code with example usage: obj.get_model_version(name, version) and returns: self