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This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
中文长文本分类、短句子分类、多标签分类、两句子相似度(Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short),字词句向量嵌入层(embeddings)和网络层(graph)构建基类,FastText,TextCNN,CharCNN,TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
李宏毅2021春季机器学习课程课件及作业
This is to store all homework assigned in ML2020 course.
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
RoBERTa中文预训练模型: RoBERTa for Chinese
中文文本分类任务,基于PyTorch实现(TextCNN,TextRNN,FastText,TextRCNN,BiLSTM_Attention, DPCNN, Transformer,Bert,ERNIE),开箱即用!
Transformer模型Encoder原理精讲及其PyTorch逐行实现 笔记 https://www.bilibili.com/video/BV1cP4y1V7GF?spm_id_from=333.337.search-card.all.click&vd_source=afe449886875b2cd7aa123878846a9f3
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