I want to load a model I have registered in Unity Catalog using a Shared cluster, but it seems to be trying to use dbfs under the hood and it gives me an error.

I am using DBR 13.3 LTS and mlflow-skinny[databricks]==2.14.3

My code 

import mlflow

mlflow.set_registry_uri("databricks-uc")

mlflow.spark.load_model("models:/my_uc_catalog.my_schema.my_model@my_alias")

Throws:

OSError: [Errno 95] Operation not supported: '/dbfs/tmp'

 If I run it on a Single User cluster it works fine, but I want it to work on Shared clusters