class_docstr: API for creating and training a text classification model.
class_docstr_tok: ["API","for","creating","and","training","a","text","classification","model","."]
docstr: Saves the model in SavedModel format.
  
  For more information, see https://www.tensorflow.org/guide/saved_model.
  
  Args:
    model_name: Name of the saved model.
code: def save_model(
      self,
      model_name: str = "saved_model",
  ):
      """Saves the model in SavedModel format.
  
      For more information, see https://www.tensorflow.org/guide/saved_model.
  
      Args:
        model_name: Name of the saved model.
      """
      tf.io.gfile.makedirs(self._hparams.export_dir)
      saved_model_file = os.path.join(
          self._hparams.export_dir, model_name
      )
      self._model.save(
          saved_model_file,
          include_optimizer=False,
          save_format="tf",
      )
  
imports: import abc
  import os
  import tempfile
  from typing import Any, Optional, Sequence, Tuple
  import tensorflow
  from tensorflow_addons import optimizers
  import tensorflow_hub
  from mediapipe.model_maker.python.core.data import dataset
  from mediapipe.model_maker.python.core.tasks import classifier
  from mediapipe.model_maker.python.core.utils import hub_loader
  from mediapipe.model_maker.python.core.utils import loss_functions
  from mediapipe.model_maker.python.core.utils import metrics
  from mediapipe.model_maker.python.core.utils import model_util
  from mediapipe.model_maker.python.core.utils import quantization
  from mediapipe.model_maker.python.text.text_classifier import bert_tokenizer
  from mediapipe.model_maker.python.text.text_classifier import dataset
  from mediapipe.model_maker.python.text.text_classifier import hyperparameters
  from mediapipe.model_maker.python.text.text_classifier import model_options
  from mediapipe.model_maker.python.text.text_classifier import model_spec
  from mediapipe.model_maker.python.text.text_classifier import model_with_tokenizer
  from mediapipe.model_maker.python.text.text_classifier import preprocessor
  from mediapipe.model_maker.python.text.text_classifier import text_classifier_options
  from mediapipe.tasks.python.metadata.metadata_writers import metadata_writer
  from mediapipe.tasks.python.metadata.metadata_writers import text_classifier
label_desc: Use image node_id 4 for calling the TextClassifier obj's underlying member method code with example usage: obj.save_model(model_name) without return types