code: def __init__(self, fname):
      super().__init__()
  
      (
          model,
          cfg,
          task,
      ) = fairseq.checkpoint_utils.load_model_ensemble_and_task([fname])
      model = model[0]
      model.eval()
  
      self.model = model
  
imports: import argparse
  import glob
  import os
  from shutil import copy
  import h5py
  import numpy
  import soundfile
  import torch
  import tqdm
  import fairseq
  from torch import nn
label_desc: Use image node_id 1 to create a new PretrainedWav2VecModel object from inherited base classes: nn with example: obj = PretrainedWav2VecModel(fname)