code: def __init__(
      self,
      source,
      save_path,
      output_norm=False,
      freeze=False,
      freeze_feature_extractor=False,
      apply_spec_augment=False,
      output_all_hiddens=False,
  ):
      super().__init__(
          source=source,
          save_path=save_path,
          output_norm=output_norm,
          freeze=freeze,
          freeze_feature_extractor=freeze_feature_extractor,
          apply_spec_augment=apply_spec_augment,
          output_all_hiddens=output_all_hiddens,
      )
  
imports: import logging
  from speechbrain.lobes.models.huggingface_transformers.wav2vec2 import Wav2Vec2
label_desc: Use image node_id 1 to create a new WavLM object from inherited base classes: Wav2Vec2 with example: obj = WavLM(source, save_path, output_norm, freeze, freeze_feature_extractor, apply_spec_augment, output_all_hiddens)