code: def export_module_from_file(
      embedding_file,
      num_oov_buckets,
      export_path,
      num_lines_to_ignore,
      num_lines_to_use,
  ):
      module = TextEmbeddingModel(
          embedding_file,
          num_oov_buckets,
          num_lines_to_ignore,
          num_lines_to_use,
      )
      tf.saved_model.save(module, export_path)
  
file_path: hub/examples/text_embeddings_v2/export_v2.py
imports: import argparse
  import os
  import sys
  import tempfile
  from absl import app
  import numpy
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: export_module_from_file(embedding_file, num_oov_buckets, export_path, num_lines_to_ignore, num_lines_to_use) without return types