class_docstr: This class implements a model-specific automatic speech recognizer using the end-to-end speech recognizer in
  Espresso.
  
  | Paper link: https://arxiv.org/abs/1909.08723
class_docstr_tok: ["This","class","implements","a","model-specific","automatic","speech","recognizer","using","the","end-to-end","speech","recognizer","in","Espresso",".","|","Paper","link",":","https",":","\/\/arxiv.org\/abs\/1909.08723"]
docstr: Put the estimator in the training mode.
docstr_tok: ["Put","the","estimator","in","the","training","mode","."]
code: def to_training_mode(self) -> None:
      """
      Put the estimator in the training mode.
      """
      self.model.train()
  
imports: import ast
  from argparse import Namespace
  import logging
  from typing import Dict, List, Optional, Tuple, TYPE_CHECKING, Union
  import numpy
  from art import config
  from art.estimators.pytorch import PyTorchEstimator
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin, PytorchSpeechRecognizerMixin
  from art.utils import get_file
label_desc: Use image node_id 8 for calling the PyTorchEspresso obj's underlying member method code with example usage: obj.to_training_mode() without return types