| # coding=utf-8 | |
| # Copyright 2021 The IDEA Authors. All rights reserved. | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """ T5Tokenizer """ | |
| from transformers import BertTokenizer | |
| class T5Tokenizer(): | |
| def __init__(self, extra_id_num=118): | |
| self.extra_id_num = extra_id_num | |
| def from_pretrained(self, vocab_path): | |
| self.extra_id_num = 118 | |
| self.T5_special_tokens = ['[BOS]', '[EOS]'] | |
| for i in range(self.extra_id_num): | |
| self.T5_special_tokens.append(f'<extra_id_{str(i)}>') | |
| tokenizer = BertTokenizer.from_pretrained(vocab_path, additional_special_tokens=self.T5_special_tokens) | |
| return tokenizer | |