class_docstr: `FeatureConnector` for text, encoding to integers with a `TextEncoder`.
code: def from_json_content(
      cls, value: Union[Json, feature_pb2.TextFeature]
  ) -> "Text":
      if isinstance(value, dict) and "use_encoder" in value:
          raise ValueError(
              "Deprecated encoder not supported. Please use the plain text version "
              "with `tensorflow_text`."
          )
      return cls()
  
imports: import html
  import os
  import textwrap
  from typing import Union
  from absl import logging
  from etils import epath
  import numpy
  from tensorflow_datasets.core.deprecated import text
  from tensorflow_datasets.core.features import feature
  from tensorflow_datasets.core.features import tensor_feature
  from tensorflow_datasets.core.proto import feature_pb2
  from tensorflow_datasets.core.utils import type_utils
label_desc: Use image node_id 16 for calling the Text obj's underlying member method code with example usage: obj.from_json_content(cls, value) and returns: cls