code: def tabular_forecasting():
      """Timeseries forecasting."""
      cli = FlashCLI(
          TabularForecaster,
          TabularForecastingData,
          default_datamodule_builder=from_synthetic_ar_data,
          default_arguments={
              "trainer.max_epochs": 1,
              "model.backbone": "n_beats",
              "model.backbone_kwargs": {
                  "widths": [32, 512],
                  "backcast_loss_ratio": 0.1,
              },
          },
          finetune=False,
          datamodule_attributes={"parameters"},
      )
  
      cli.trainer.save_checkpoint("tabular_forecasting_model.pt")
  
imports: from flash.core.utilities.flash_cli import FlashCLI
  from flash.core.utilities.imports import _FORECASTING_AVAILABLE, _PANDAS_AVAILABLE
  from flash.tabular.forecasting.data import TabularForecastingData
  from flash.tabular.forecasting.model import TabularForecaster
label_desc: Use image node_id 2 for calling a global function with example usage: tabular_forecasting() without return types