docstr: Takes paths to audio files and returns text transcription
  Args:
      paths2audio_files: paths to audio fragment to be transcribed
      verbose: (bool) whether to display tqdm progress bar
  
  Returns:
      transcription texts
docstr_tok: ["Takes","paths","to","audio","files","and","returns","text","transcription","Args",":","paths2audio_files",":","paths","to","audio","fragment","to","be","transcribed","verbose",":","(","bool",")","whether","to","display","tqdm","progress","bar","Returns",":","transcription","texts"]
code: def transcribe(
      self,
      paths2audio_files: List[str],
      batch_size: int = 4,
      verbose: bool = True,
  ) -> List[str]:
      """
      Takes paths to audio files and returns text transcription
      Args:
          paths2audio_files: paths to audio fragment to be transcribed
          verbose: (bool) whether to display tqdm progress bar
  
      Returns:
          transcription texts
      """
      pass
  
imports: import logging
  from abc import ABC, abstractmethod
  from typing import List
  import torch
  from nemo.core.classes import ModelPT
  from nemo.core.classes.common import PretrainedModelInfo
  from nemo.core.classes.exportable import Exportable
  from nemo.core.classes.mixins import AccessMixin
  from nemo.core.utils.neural_type_utils import get_io_names
  from nemo.utils import logging, model_utils
  from nemo.utils.cast_utils import cast_all
label_desc: Use image node_id 1 for calling the ASRModel obj's underlying member method code with example usage: obj.transcribe(paths2audio_files, batch_size, verbose) without return types