shfuwe / chinese_company_ner Goto Github PK
View Code? Open in Web Editor NEW命名实体识别(Named EntitiesRecognition, NER),中文公司名实体识别,一键运行,基于pytorch。博客https://blog.csdn.net/weixin_43499457/article/details/129249976
命名实体识别(Named EntitiesRecognition, NER),中文公司名实体识别,一键运行,基于pytorch。博客https://blog.csdn.net/weixin_43499457/article/details/129249976
1.在data\下放train.json 2.直接运行run_albert.ipynb就可以训练 3.训练得到的模型会存到experiments\s_model data_precess:处理标注数据到模型训练需要的格式,并且去除一些会报错的token train.json---train.npz 有两种可选方法,目前用的方法慢一点但是可以处理掉脏数据;注释掉的部分会快一点,但是如果有脏数据报错 data_loader:生成训练集和验证集
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