code: def remove_pretraining_modules(self):
      self.target_glu = None
      self.final_proj = None
  
imports: import logging
  from dataclasses import dataclass, field
  from typing import Dict, List, Optional, Tuple
  import numpy
  import torch
  import torch.nn
  from omegaconf import II
  from fairseq import utils
  from fairseq.data.data_utils import compute_mask_indices
  from fairseq.data.dictionary import Dictionary
  from fairseq.dataclass import ChoiceEnum, FairseqDataclass
  from fairseq.models import BaseFairseqModel, register_model
  from fairseq.models.wav2vec.wav2vec2 import EXTRACTOR_MODE_CHOICES, MASKING_DISTRIBUTION_CHOICES, LAYER_TYPE_CHOICES, ConvFeatureExtractionModel, TransformerEncoder
  from fairseq.modules import GradMultiply, LayerNorm
  from fairseq.tasks.hubert_pretraining import HubertPretrainingConfig, HubertPretrainingTask
label_desc: Use image node_id 14 for calling the HubertModel obj's underlying member method code with example usage: obj.remove_pretraining_modules() without return types