BertTokenizer.from_pretrained
时间: 2023-08-26 14:06:27 浏览: 114
BertTokenizer.from_pretrained是用于从预训练模型中加载BertTokenizer的方法。在Python中,可以通过以下方式导入和初始化BertTokenizer:
```
from transformers import BertTokenizer
tokenizer = BertTokenizer.from_pretrained(pretrained_model_name_or_path='bert-base-chinese')
```
其中,pretrained_model_name_or_path参数指定了预训练模型的名称或路径,例如'bert-base-chinese'表示使用中文预训练的BERT模型。这样初始化后,你可以使用tokenizer对文本进行分词和编码处理。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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