multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Last update: Dec 12, 2022

Overview

简介

1、本项目是在tensorflow版本1.14.0的基础上做的训练和测试。
2、本项目为中文的多标签文本分类。
3、欢迎大家联系我 www.hellonlp.com
4、albert_small_zh_google对应的百度云下载地址：
链接：https://pan.baidu.com/s/1RKzGJTazlZ7y12YRbAWvyA
提取码：wuxw

使用方法

1、准备数据
数据格式为：classifier_multi_label_seq2seq_attention/data/test.csv
2、参数设置
参考脚本 hyperparameters.py，直接修改里面的数值即可。
3、训练
python train.py
4、预测
python predict.py

知乎代码解读

https://zhuanlan.zhihu.com/p/260743336

Owner

hellonlp

NLP with deep learning. Mainly focus on text classification, NER, Chabot , pre-trained models NLP.

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multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

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multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Related tags

Overview

简介

使用方法

知乎代码解读

Owner

hellonlp

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