code: def model(dataloaders_fixed_window_without_covariates):
      dataset = dataloaders_fixed_window_without_covariates[
          "train"
      ].dataset
      net = NBeats.from_dataset(
          dataset,
          learning_rate=0.15,
          log_gradient_flow=True,
          widths=[4, 4, 4],
          log_interval=1000,
          backcast_loss_ratio=1.0,
      )
      return net
  
file_path: pytorch-forecasting/tests/test_models/test_nbeats.py
imports: import pickle
  import shutil
  import lightning.pytorch
  from lightning.pytorch.callbacks import EarlyStopping
  from lightning.pytorch.loggers import TensorBoardLogger
  import pytest
  from pytorch_forecasting.models import NBeats
label_desc: Use image node_id 2 for calling a global function with example usage: model(dataloaders_fixed_window_without_covariates) and returns: net