class_docstr: Input node for text data.
  
  The input data should be numpy.ndarray or tf.data.Dataset. The data should
  be one-dimensional. Each element in the data should be a string which is a
  full sentence.
  
  # Arguments
      name: String. The name of the input node. If unspecified, it will be set
          automatically with the class name.
code: def get_adapter(self):
      return adapters.TextAdapter()
  
imports: from typing import Dict
  from typing import List
  from typing import Optional
  import tensorflow
  from tensorflow import keras
  from tensorflow import nest
  from autokeras import adapters
  from autokeras import analysers
  from autokeras import blocks
  from autokeras import hyper_preprocessors
  from autokeras import keras_layers
  from autokeras import preprocessors
  from autokeras.engine import io_hypermodel
  from autokeras.engine import node
  from autokeras.utils import utils
label_desc: Use image node_id 4 for calling the TextInput obj's underlying member method code with example usage: obj.get_adapter() and returns: adapters