code: def test_with_word_embedding(self):
      w2v_embedding = WordEmbedding(TestMacros.w2v_path)
      model = self.TASK_MODEL_CLASS(
          embedding=w2v_embedding, sequence_length=120
      )
      train_x, train_y = TestMacros.load_labeling_corpus()
      valid_x, valid_y = train_x, train_y
  
      model.fit(
          train_x,
          train_y,
          x_validate=valid_x,
          y_validate=valid_y,
          epochs=self.EPOCH_COUNT,
      )
  
file_path: Kashgari/tests/test_labeling/test_bi_lstm_model.py
imports: import os
  import tempfile
  import time
  import unittest
  from typing import Type
  from tensorflow.keras.utils import get_file
  from kashgari.embeddings import BertEmbedding
  from kashgari.embeddings import WordEmbedding
  from kashgari.macros import DATA_PATH
  from kashgari.tasks.labeling import BiLSTM_Model, ABCLabelingModel
  from tests.test_macros import TestMacros
label_desc: Use image node_id 3 for calling the TestBiLSTM_Model obj's underlying member method code with example usage: obj.test_with_word_embedding() without return types