我正在尝试加载我在databricks中使用mlflow注册的spark模型（参考此文档：https://docs.microsoft.com/en-us/azure/databricks/applications/mlflow/model-registry-example#load-使用api的注册模型的版本）
我的代码是：

model_uri = "models:/{model_name}/{stage_name}".format(
   model_name=model_name,stage_name=stage_name)

model = mlflow.spark.load_model(model_uri )

但这给了我以下错误：

: com.databricks.backend.daemon.data.common.InvalidMountException: 
  Error while using path /databricks/mlflow-registry/run-id/models/spark-model/sparkml 
  for resolving path '/run-id/models/spark-model/sparkml' 
  within mount at '/databricks/mlflow-registry'.

（注： artifact_path 注册模型时经过我这里的是'spark model'）
如何解决此错误？