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Awesome Pretrained Chinese NLP Models,高质量中文预训练模型&大模型&多模态模型&大语言模型集合
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
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
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
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
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
TextGen: Implementation of Text Generation models, include LLaMA, BLOOM, GPT2, BART, T5, SongNet and so on. 文本生成模型,实现了包括LLaMA,ChatGLM,BLOOM,GPT2,Seq2Seq,BART,T5,UDA等模型的训练和预测,开箱即用。
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Simple XLNet implementation with Pytorch Wrapper
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Annotations of the interesting ML papers I read
Implementation of XLNet that can load pretrained checkpoints
XLNet Extension in TensorFlow
Python toolkit for Chinese Language Understanding(CLUE) Evaluation benchmark
Generating responses with pretrained XLNet and GPT-2 in PyTorch.
Source code for "Head-Driven Phrase Structure Grammar Parsing on Penn Treebank" published at ACL 2019
Abstractive and Extractive Text summarization using Transformers.
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
Absolutely amazing SOTA Google Colab (Jupyter) Notebooks for creating/training SOTA Music AI models and for generating music with Transformer technology (Google XLNet/Transformer-XL)
CLUE baseline pytorch CLUE的pytorch版本基线
Scripts and Approach for Amazon ML Challenge
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
Hands on NLP and Computer Vision with Transformers
XLNet: Generalized Autoregressive Pretraining for Language Understanding 论文的中文翻译 Paper Chinese Translation!
Clinical XLNet: Modeling Sequential Clinical Notes and Predicting Prolonged Mechanical Ventilation
Tensorflow solution of NER task Using BiLSTM-CRF model with CMU/Google XLNet
疫情期间网民情绪识别代码,包含lstm,bert,xlnet,robert,最高f1为0.725 部署在Google colab