loujie0822 / Pre-trained-ModelsLinks
预训练语言模型综述
☆550Updated 5 years ago
Alternatives and similar repositories for Pre-trained-Models
Users that are interested in Pre-trained-Models are comparing it to the libraries listed below
Sorting:
- Word2vec, Fasttext, Glove, Elmo, Bert, Flair pre-train Word Embedding☆657Updated 4 years ago
- 天池 疫情相似句对判定大赛 线上第一名方案☆436Updated 4 years ago
- 中文问题句子相似度计算比赛及方案汇总☆301Updated 4 years ago
- 以词为基本单位的中文BERT☆469Updated 3 years ago
- 专门为自然语言处理(NLP)面试准备的学习笔记与资料☆352Updated 4 years ago
- ☆268Updated 5 years ago
- BERT 源码阅读☆232Updated 5 years ago
- Pytorch Bert Finetune in Chinese Text Classification☆220Updated last year
- Text-Similarity Method in Pytorch☆469Updated 6 years ago
- Pytorch + NLP, 一份友好的项目实践仓库☆463Updated 6 years ago
- 简单的向量白化改善句向量质量☆484Updated 4 years ago
- Implemention some Baseline Model upon Bert for Text Classification☆691Updated 5 years ago
- ccks baidu entity link 实体链接 第一名☆843Updated last year
- BERT模型从训练到部署☆528Updated 4 years ago
- pytorch中文语言模型预训练☆389Updated 5 years ago
- 常用文本匹配模型tf版本,数据集为QA_corpus,持续更新中☆675Updated 5 years ago
- SimCSE在中文任务上的简单实验☆605Updated last year
- implementation several deep text match (text similarly) models for keras . cdssm, arc-ii,match_pyramid, mvlstm ,esim, drcn ,bimpm, bert, …☆290Updated 4 years ago
- 机器阅读理解 冠军/亚军代码及中文预训练MRC模型☆743Updated 2 years ago
- ☆441Updated 3 months ago
- ☆439Updated 3 years ago
- Open Language Pre-trained Model Zoo☆999Updated 3 years ago
- ccf 2020 qa match competition top1☆266Updated 4 years ago
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!☆688Updated 5 years ago
- using bilstm-crf,bert and other methods to do sequence tagging task☆415Updated 2 years ago
- Data Augmentation for NLP. NLP数据增强☆295Updated 4 years ago
- Papers I have read, mainly about NLP. Welcome everyone to supplement in issue.☆256Updated 4 years ago
- 天池大赛疫情文本挑战赛线上第三名方案分享☆227Updated 4 years ago
- 文本匹配的相关模型DSSM,ESIM,ABCNN,BIMPM等,数据集为LCQMC官方数据☆468Updated 3 years ago
- a bert for retrieval and generation☆860Updated 4 years ago