albert-zh-for-pytorch-transformers

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

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

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

? A PyTorch library of curated Transformer models and their composable components