code: def setup_dataloaders(asr_model, cfg):
      """
      Sets up the training, validation and test dataloaders for the model.
      Args:
          asr_model: ASRModel instance
          cfg: config
      Returns:
          asr_model: ASRModel instance with updated dataloaders
      """
      cfg = model_utils.convert_model_config_to_dict_config(cfg)
      asr_model.setup_training_data(cfg.model.train_ds)
      asr_model.setup_multiple_validation_data(cfg.model.validation_ds)
      if (
          hasattr(cfg.model, "test_ds")
          and cfg.model.test_ds.manifest_filepath is not None
      ):
          asr_model.setup_multiple_test_data(cfg.model.test_ds)
  
      return asr_model
  
file_path: NeMo/examples/asr/speech_to_text_finetune.py
imports: import time
  import pytorch_lightning
  from omegaconf import OmegaConf
  from nemo.collections.asr.models import ASRModel
  from nemo.core.config import hydra_runner
  from nemo.utils import logging, model_utils
  from nemo.utils.exp_manager import exp_manager
  from nemo.utils.get_rank import is_global_rank_zero
label_desc: Use image node_id 4 for calling a global function with example usage: setup_dataloaders(asr_model, cfg) and returns: asr_model