code: def test_hybrid_self_attention(self):
      model_save_path = "self_att_hybrid_model.pth"
      model = MatchingModel(
          attr_summarizer=attr_summarizers.Hybrid(
              word_contextualizer="self-attention"
          )
      )
  
      model.run_train(
          self.train,
          self.valid,
          epochs=1,
          batch_size=8,
          best_save_path=model_save_path,
          pos_neg_ratio=3,
      )
  
      s1 = model.run_eval(self.test)
  
      model2 = MatchingModel(
          attr_summarizer=attr_summarizers.Hybrid(
              word_contextualizer="self-attention"
          )
      )
      model2.load_state(model_save_path)
      s2 = model2.run_eval(self.test)
  
      self.assertEqual(s1, s2)
  
      if os.path.exists(model_save_path):
          os.remove(model_save_path)
  
imports: from nose.tools import *
  import io
  import os
  import shutil
  import pandas
  import torch
  import unittest
  from deepmatcher import attr_summarizers
  from deepmatcher.data.field import MatchingField, FastText
  from deepmatcher.data.process import process, process_unlabeled
  from deepmatcher import MatchingModel
  from urllib.parse import urljoin
  from urllib.request import pathname2url
  from test import test_dir_path
label_desc: Use image node_id 7 for calling the ModelTrainSaveLoadTest obj's underlying member method code with example usage: obj.test_hybrid_self_attention() without return types