class_docstr: Wrapper class for :py:class:`~torchaudio.models.Wav2Vec2Model`.
  
  This is used for layer normalization at the input
class_docstr_tok: ["Wrapper","class","for",":","py",":","class",":","`","~torchaudio.models.Wav2Vec2Model","`",".","This","is","used","for","layer","normalization","at","the","input"]
code: def __init__(
      self,
      model: Wav2Vec2Model,
      normalize_waveform: bool,
      apply_log_softmax: bool,
      append_star: bool,
  ):
      super().__init__()
      self.model = model
      self.normalize_waveform = normalize_waveform
      self.apply_log_softmax = apply_log_softmax
      self.append_star = append_star
  
imports: from typing import List, Optional, Tuple
  import torch
  from torch import nn, Tensor
  from torchaudio._internal import load_state_dict_from_url
  from torchaudio.models import wav2vec2_model, Wav2Vec2Model, wavlm_model
label_desc: Use image node_id 1 to create a new _Wav2Vec2Model object from inherited base classes: nn with example: obj = _Wav2Vec2Model(model, normalize_waveform, apply_log_softmax, append_star)