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FeatureProject/bert/readme.md

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+# BERT
+
+# usage:
+this bert you need not fine tuning for common target
+
+  step1:github项目中只是上传部分数据，需要的前往链接: https://pan.baidu.com/s/1I3vydhmFEQ9nuPG2fDou8Q 提取码: rket
+        download  chinese_L-12_H-768_A-12（谷歌预训练好的模型）
+        解压到Data/chinese_L-12_H-768_A-12
+  step2-1:
+       运行 FeatureProject/bert/extract_keras_bert_feature.py
+       then you can get vector of bert encoding
+  step2-2:
+       运行 FeatureProject/bert/tet_bert_keras_sim.py
+       then you can get sim of bert vector of two sentence
+                and get avg time of run a sentence of encode
+
+# thanks
+* keras-bert: https://github.com/CyberZHG/keras-bert