class_docstr: Wraps the model into a ModelBuilder to work with `tfr.keras.pipeline`.
docstr: Builds the model.
docstr_tok: ["Builds","the","model","."]
code: def build(self) -> tf.keras.Model:
      """Builds the model."""
      return AntiqueEmbeddingRankingModel(
          vocab_size=FLAGS.vocab_size,
          vocab_file_path=FLAGS.vocab_file_path,
          embedding_dim=FLAGS.embedding_dimension,
          hidden_dims=FLAGS.hidden_layer_dims,
      )
  
imports: import os
  from typing import List
  from absl import app
  from absl import flags
  from absl import logging
  import tensorflow
  import tensorflow_ranking
label_desc: Use image node_id 1 for calling the MyModelBuilder obj's underlying member method code with example usage: obj.build() and returns: AntiqueEmbeddingRankingModel