code: def load(self, path, device):
      self.load_state_dict(torch.load(path, map_location=device))
  
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 2 for calling the LM obj's underlying member method code with example usage: obj.load(path, device) without return types