如何使用bert模型进行分词

BERT模型的分词方法主要是通过编码和WordpieceTokenizer两个步骤来实现的。编码是将输入的文本切片映射成词典中的id的过程。具体来说，需要加载词典，然后将最终的分词结果映射成词典中的id。这个过程可以通过调用convert_by_vocab函数来完成。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* [BERT 是如何分词的](https://blog.csdn.net/weixin_43145427/article/details/125120165)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [bert入门之分词源码解析](https://blog.csdn.net/qq_33534428/article/details/127985606)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
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