code: def parse_line(line):
      """Parses a line of a text embedding file.
  
      Args:
        line: (str) One line of the text embedding file.
  
      Returns:
        A token string and its embedding vector in floats.
      """
      columns = line.split()
      token = columns.pop(0)
      values = [float(column) for column in columns]
      return token, values
  
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 1 for calling a global function with example usage: parse_line(line) and returns: token,  values