Upload bert_tokenizer.py
Browse files- bert_tokenizer.py +25 -3
bert_tokenizer.py
CHANGED
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import json
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import os
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from pathlib import Path
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from typing import List
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import tokenizers
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import torch
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from pypinyin import pinyin, Style
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from transformers import BertTokenizerFast
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class ChineseBertTokenizer(BertTokenizerFast):
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def __init__(self, **kwargs):
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super(ChineseBertTokenizer, self).__init__(**kwargs)
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bert_path =
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print("bert_path", bert_path)
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vocab_file = os.path.join(bert_path, 'vocab.txt')
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config_path = os.path.join(bert_path, 'config')
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self.max_length = 512
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self.tokenizer = BertWordPieceTokenizer(vocab_file)
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# load pinyin map dict
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with open(os.path.join(config_path, 'pinyin_map.json'), encoding='utf8') as fin:
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self.pinyin_dict = json.load(fin)
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# load char id map tensor
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with open(os.path.join(config_path, 'id2pinyin.json'), encoding='utf8') as fin:
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self.id2pinyin = json.load(fin)
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# load pinyin map tensor
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with open(os.path.join(config_path, 'pinyin2tensor.json'), encoding='utf8') as fin:
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self.pinyin2tensor = json.load(fin)
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import json
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import os
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from typing import List
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import requests
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import tokenizers
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import torch
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from pypinyin import pinyin, Style
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from transformers import BertTokenizerFast
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SOURCE_FILES_URL = {
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"vocab.txt": "https://huggingface.co/iioSnail/chinesebert-base/blob/main/vocab.txt",
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"pinyin_map.json": "https://huggingface.co/iioSnail/chinesebert-base/blob/main/config/pinyin_map.json",
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"id2pinyin.json": "https://huggingface.co/iioSnail/chinesebert-base/blob/main/config/id2pinyin.json",
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"pinyin2tensor.json": "https://huggingface.co/iioSnail/chinesebert-base/blob/main/config/id2pinyin.json",
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}
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def download_file(url, filename):
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if os.path.exists(filename):
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return
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res = requests.get(url)
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with open(filename, 'wb') as file:
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file.write(res.content)
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class ChineseBertTokenizer(BertTokenizerFast):
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def __init__(self, **kwargs):
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super(ChineseBertTokenizer, self).__init__(**kwargs)
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bert_path = self.name_or_path
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vocab_file = os.path.join(bert_path, 'vocab.txt')
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config_path = os.path.join(bert_path, 'config')
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self.max_length = 512
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download_file(SOURCE_FILES_URL["vocab.txt"], vocab_file)
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self.tokenizer = BertWordPieceTokenizer(vocab_file)
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# load pinyin map dict
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download_file(SOURCE_FILES_URL["pinyin_map.json"], os.path.join(config_path, 'pinyin_map.json'))
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with open(os.path.join(config_path, 'pinyin_map.json'), encoding='utf8') as fin:
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self.pinyin_dict = json.load(fin)
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# load char id map tensor
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download_file(SOURCE_FILES_URL["id2pinyin.json"], os.path.join(config_path, 'id2pinyin.json'))
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with open(os.path.join(config_path, 'id2pinyin.json'), encoding='utf8') as fin:
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self.id2pinyin = json.load(fin)
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# load pinyin map tensor
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download_file(SOURCE_FILES_URL["pinyin2tensor.json"], os.path.join(config_path, 'pinyin2tensor.json'))
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with open(os.path.join(config_path, 'pinyin2tensor.json'), encoding='utf8') as fin:
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self.pinyin2tensor = json.load(fin)
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