code: def try_all_antonyms(self, text, threshold=5, synonym=False):
      if self.url is not None:
          params = {"text": text}
          r = requests.post(
              url="%s/tokenize" % self.url,
              data={"params": json.dumps(params)},
          )
          words = json.loads(r.text)
      else:
          words = self.tokenizer.tokenize(text)
      new_ret = []
      for word in words:
          word = word.strip(self.space_prefix)
          try:
              if synonym:
                  ret = self.synonyms(text, word, threshold)
              else:
                  ret = self.antonyms(text, word, threshold)
          except:
              print("Error", word)
              print()
              continue
          new_ret.extend(ret)
      return sorted(new_ret, key=lambda x: x[2])
  
imports: from transformers import AutoTokenizer, AutoModelForMaskedLM
  import collections
  import itertools
  import numpy
  import re
  from transformers import GPT2Config
  from transformers import GPT2LMHeadModel, GPT2Tokenizer
  from tqdm.auto import tqdm
  import torch
  import torch.nn.functional
  from pattern.en import wordnet, pluralize
  import requests
  import json
label_desc: Use image node_id 13 for calling the TextGenerator obj's underlying member method code with example usage: obj.try_all_antonyms(text, threshold, synonym) and returns: sorted