code: def _load_fairseq_model(input_file, data_dir=None):
      overrides = {}
      if data_dir:
          overrides["data"] = data_dir
  
      (
          model,
          _,
          _,
      ) = fairseq.checkpoint_utils.load_model_ensemble_and_task(
          [input_file], arg_overrides=overrides
      )
      model = model[0]
      return model
  
imports: import argparse
  import logging
  import os
  from typing import Tuple
  import fairseq
  import torch
  import torchaudio
  from greedy_decoder import Decoder
  from torch.utils.mobile_optimizer import optimize_for_mobile
  from torchaudio.models.wav2vec2.utils.import_fairseq import import_fairseq_model
label_desc: Use image node_id 3 for calling a global function with example usage: _load_fairseq_model(input_file, data_dir) and returns: model