# from tokenization_gptpangu import GPTPanguTokenizer
# import json
#
# tokenizer = GPTPanguTokenizer.from_pretrained(".")
# with open("tokenizer.json",encoding="utf-8") as f:
#     cofig = json.load(f)
#
#
# vocab_file = "vocab.vocab"
#
# f = open(vocab_file, 'r', encoding="utf-8")
# lines = f.readlines()
# vocab = []
# for line in enumerate(lines):
#     key = line[1].split('\t')[0]
#     pair = [key,line[0]]
#     vocab.append(pair)
#
# cofig['model']['vocab'] = vocab
#
# with open("new_tokenizer.json","w",encoding="utf-8") as w:
#     d = json.dumps(cofig)
#     w.write(d)
#
# print("ok")

from transformers import  AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained(".")