code: def main(cfg):
      trainer = pl.Trainer(use_distributed_sampler=False, **cfg.trainer)
      exp_manager(trainer, cfg.get("exp_manager", None))
      model = VitsModel(cfg=cfg.model, trainer=trainer)
  
      trainer.callbacks.extend([pl.callbacks.LearningRateMonitor()])
      trainer.fit(model)
  
imports: import pytorch_lightning
  from nemo.collections.tts.models.vits import VitsModel
  from nemo.core.config import hydra_runner
  from nemo.utils.exp_manager import exp_manager
label_desc: Use image node_id 1 for calling a global function with example usage: main(cfg) without return types