code: def post_processor(self, tokenizer):
      return TemplateProcessing(
          seq_a=["$0", "</s>"],
          seq_b=["$1", "</s>"],
          special_tokens=[("</s>", tokenizer.get_vocab()["</s>"])],
      )
  
imports: import transformers
  from tokenizers.implementations import SentencePieceUnigramTokenizer, BaseTokenizer
  from tokenizers.processors import TemplateProcessing
  from tokenizers.models import Unigram, BPE
  from tokenizers import decoders
  from tokenizers import Tokenizer, Regex
  from tokenizers.normalizers import StripAccents, NFKD, Lowercase, Sequence, BertNormalizer, Precompiled, Replace
  from tokenizers.pre_tokenizers import Digits, WhitespaceSplit, Metaspace, Sequence
  import json
  import unicodedata
  import sys
  import os
  import datetime
  import argparse
  from spm_parity_check import check_details
  from sentencepiece_extractor import SentencePieceExtractor
label_desc: Use image node_id 1 for calling the T5Converter obj's underlying member method code with example usage: obj.post_processor(tokenizer) and returns: TemplateProcessing