code: def _build_model(self):
      self.model = Graph2Seq.load_checkpoint(
          self.opt["checkpoint_save_path"], "best.pt"
      ).to(self.device)
  
file_path: graph4nlp/examples/pytorch/semantic_parsing/graph2seq/inference_advance.py
imports: import numpy
  import torch
  from torch.utils.data import DataLoader
  from graph4nlp.pytorch.datasets.jobs import JobsDataset
  from graph4nlp.pytorch.models.graph2seq import Graph2Seq
  from graph4nlp.pytorch.modules.utils.copy_utils import prepare_ext_vocab
  from args import get_args
  from evaluation import ExpressionAccuracy
  from utils import get_log, wordid2str
label_desc: Use image node_id 5 for calling the Jobs obj's underlying member method code with example usage: obj._build_model() without return types