code: def __init__(self, cfg):
      super(LM, self).__init__()
      self.bert = BertModel.from_pretrained(
          cfg.lm_file, num_hidden_layers=cfg.num_hidden_layers
      )
      self.bilstm = RNN(cfg)
      self.fc = nn.Linear(cfg.hidden_size, cfg.num_relations)
      self.dropout = nn.Dropout(cfg.dropout)
  
file_path: DeepKE/example/triple/cnschema/LMModel.py
imports: import os
  import time
  import torch
  import torch.nn
  from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
  from torch import nn
  from transformers import BertModel
  from utils import seq_len_to_mask
label_desc: Use image node_id 1 to create a new LM object from inherited base classes: nn with example: obj = LM(cfg)