diff --git a/NLP通用框架BERT项目实战/Chapter 2——Interpretation and application examples of Bert source code/README.md b/NLP通用框架BERT项目实战/Chapter 2——Interpretation and application examples of Bert source code/README.md
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+# README
+
+[BERT开源框架地址](<https://github.com/google-research/bert>)，最好读下README，以下是预训练好的BERT模型，这里用到两个
+
+![1609825905750](C:\Users\Administrator\AppData\Roaming\Typora\typora-user-images\1609825905750.png)
+
+> 点击即可下载，里面内容如下
+
+![1609826152438](assets/1609826152438.png)
+
+![1609826160982](assets/1609826160982.png)
+
+> json：相关的参数
+>
+> vocab：语料库
+>
+> 其它：使用时的是加载文件，如训练好的权重等
+
+![1609826290795](assets/1609826290795.png)
+
+> 下载一个数据集，使用脚本命令下载，可能需要翻墙，可以访问我的百度云盘进行下载。这里只用到MRPC
+
+
+
+#### MRPC
+
+内容如下：
+
+![1609827571649](assets/1609827571649.png)
+
+train.csv：
+
+![1609827493014](assets/1609827493014.png)
+
+> 二分类任务：判断两句话是否说的是同一意思
+>
+> Quality：是否相同，相同为1
+
+test.csv
+
+![1609827666717](assets/1609827666717.png)
+
+> 没有了Quality，需要进行预测
+
+
+
+#### download BERT
+
+把bert的code全部下载下来，并解压到指定目录
+
+![1609827887131](assets/1609827887131.png)
+
+
+
+
+
+推荐的pip方式是：pip --default-timeout=100 install 库名字 -i http://pypi.douban.com/simple/ --trusted-host pypi.douban.com
+
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