code: def save(self, path):
      torch.save(self.model.state_dict(), path)
  
imports: import argparse
  import json
  import numpy
  import prettytable
  import torch
  import torch.autograd
  import torch.nn
  import transformers
  from sklearn.metrics import precision_recall_fscore_support, f1_score, classification_report
  from torch.utils.data import DataLoader
  import hydra
  from deepke.name_entity_re.standard.w2ner import *
  from deepke.name_entity_re.standard.w2ner.utils import *
  from deepke.name_entity_re.standard.tools import *
label_desc: Use image node_id 5 for calling the Trainer obj's underlying member method code with example usage: obj.save(path) without return types