code: def __init__(self, config, **kwargs):
      super().__init__(config)
      """
          For reproducibility:
          self.mm_encoder will be initialized then discarded.
          """
      from .transformermodel import MMBertForMTM
  
      model_config = AutoConfig.from_pretrained(
          config.dataset.bert_name
      )
      model_config.max_video_len = config.dataset.max_video_len
      model_config.use_seg_emb = config.model.use_seg_emb
      self.mm_encoder = MMBertForMTM.from_pretrained(
          config.dataset.bert_name, config=model_config
      )
  
imports: import torch
  from torch import nn
  from .None import transformermodel
label_desc: Use image node_id 1 to create a new MMFusionMTM object from inherited base classes: MMFusionMFMMLM with example: obj = MMFusionMTM(config)