add_table_to_direct_lake_semantic_model without columns, is it possible?

[stefanodallura]

Hi,
I'm using semantic-link-labs libraries to build a Fabric Semantic Model with a PySpark notebook reading configuration files. One of the steps is using the add_table_to_direct_lake_semantic_model method to add tables to the Semantic Model. Since I don't need to have all the columns from the lakehouse tables in the semantic model, I added a cell to remove all the columns (using remove_object) and another cell to add only the required ones (using add_data_column). The cell with add_table_to_direct_lake_semantic_model takes a long time (28 minutes over 34 minutes of the whole notebook). Is there a way to add tables without columns or add tables specifying columns?
Thanks in advance for the reply