original_docstring: 
          Calling this function will disable the gradient computation for the feature extractor so that its parameter
          will not be updated during training.
          
docstring: Calling this function will disable the gradient computation for the feature extractor so that its parameter
  will not be updated during training.
docstring_tokens: Calling this function will disable the gradient computation for the feature extractor so that its parameter will not be updated during training .
code: def freeze_feature_extractor(self):
          """
          Calling this function will disable the gradient computation for the feature extractor so that its parameter
          will not be updated during training.
          """
          self.wav2vec2.feature_extractor._freeze_parameters()
code_tokens: def freeze_feature_extractor ( self ) : self . wav2vec2 . feature_extractor . _freeze_parameters ( )
short_docstring: Calling this function will disable the gradient computation for the feature extractor so that its parameter
  will not be updated during training.
short_docstring_tokens: Calling this function will disable the gradient computation for the feature extractor so that its parameter will not be updated during training .
comment: """
          Calling this function will disable the gradient computation for the feature extractor so that its parameter
          will not be updated during training.
          """