code: def __init__(self, corpus, tokenizer_model, output_type):
      self.chunk_size = 1024 * 1024
      self.corpus = corpus
      self.tokenizer_model = tokenizer_model
      self.output_type = output_type
  
file_path: gluon-nlp/scripts/processing/apply_subword.py
imports: import os
  import argparse
  import textwrap
  from multiprocessing import Pool
  import numpy
  import time
  from gluonnlp.data import tokenizers
  from gluonnlp.data.tokenizers.huggingface import is_new_version_model_file
label_desc: Use image node_id 1 to create a new ParallelCorpusApplyer object  with example: obj = ParallelCorpusApplyer(corpus, tokenizer_model, output_type)