code: def tabular_regression():
      """Classify tabular data."""
      cli = FlashCLI(
          TabularRegressor,
          TabularRegressionData,
          default_datamodule_builder=from_titanic,
          default_arguments={
              "trainer.max_epochs": 3,
              "model.backbone": "tabnet",
          },
          finetune=False,
          datamodule_attributes={
              "embedding_sizes",
              "categorical_fields",
              "num_features",
              "cat_dims",
          },
      )
  
      cli.trainer.save_checkpoint("tabular_regression_model.pt")
  
imports: from flash.core.data.utils import download_data
  from flash.core.utilities.flash_cli import FlashCLI
  from flash.tabular.regression.data import TabularRegressionData
  from flash.tabular.regression.model import TabularRegressor
label_desc: Use image node_id 2 for calling a global function with example usage: tabular_regression() without return types