class_docstr: Client of an MLflow Model Registry Server that creates and manages registered
  models and model versions.
docstr: Set a tag for the registered model.
  
  :param name: Registered model name.
  :param key: Tag key to log.
  :param value: Tag value log.
  :return: None
docstr_tok: ["Set","a","tag","for","the","registered","model",".",":","param","name",":","Registered","model","name",".",":","param","key",":","Tag","key","to","log",".",":","param","value",":","Tag","value","log",".",":","return",":","None"]
code: def set_registered_model_tag(self, name, key, value):
      """
      Set a tag for the registered model.
  
      :param name: Registered model name.
      :param key: Tag key to log.
      :param value: Tag value log.
      :return: None
      """
      self.store.set_registered_model_tag(
          name, RegisteredModelTag(key, str(value))
      )
  
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 10 for calling the ModelRegistryClient obj's underlying member method code with example usage: obj.set_registered_model_tag(name, key, value) without return types