code: def test_tf_as_first_sequential_layer(self):
      layer = layers.TextVectorization(
          max_tokens=10,
          output_mode="int",
          output_sequence_length=3,
      )
      layer.set_vocabulary(["baz", "bar", "foo"])
      model = models.Sequential(
          [
              layer,
              layers.Embedding(5, 4),
          ]
      )
      model(backend.convert_to_tensor([["foo qux bar"], ["qux baz"]]))
  
file_path: keras/keras/layers/preprocessing/text_vectorization_test.py
imports: import numpy
  import pytest
  import tensorflow
  from tensorflow import data
  from keras import backend
  from keras import layers
  from keras import models
  from keras import testing
label_desc: Use image node_id 6 for calling the TextVectorizationTest obj's underlying member method code with example usage: obj.test_tf_as_first_sequential_layer() without return types