class_docstr: APIs to help create and train an Average Word Embedding text classifier.
class_docstr_tok: ["APIs","to","help","create","and","train","an","Average","Word","Embedding","text","classifier","."]
code: def _get_metadata_writer(
      self, tflite_model: bytearray, vocab_filepath: str
  ):
      return (
          text_classifier_writer.MetadataWriter.create_for_regex_model(
              model_buffer=tflite_model,
              regex_tokenizer=metadata_writer.RegexTokenizer(
                  delim_regex_pattern=self._DELIM_REGEX_PATTERN,
                  vocab_file_path=vocab_filepath,
              ),
              labels=metadata_writer.Labels().add(
                  list(self._label_names)
              ),
          )
      )
  
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 7 for calling the _AverageWordEmbeddingClassifier obj's underlying member method code with example usage: obj._get_metadata_writer(tflite_model, vocab_filepath) and returns: text_classifier_writer