alibaba/EasyNLP
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
UDA(Unsupervised Data Augmentation) implemented by pytorch
$ git clone https://github.com/SanghunYun/UDA_pytorch.gitEasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持t5模型,支持GPT2进行文章续写。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
多标签文本分类,多标签分类,文本分类, multi-label, classifier, text classification, BERT, seq2seq,attention, multi-label-classification
Code and source for paper ``How to Fine-Tune BERT for Text Classification?``
Data from GitHub · snapshot Sep 24, 2026