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Thank you BART! Rewarding Pre-Trained Models Improves Formality Style Transfer (ACL 2021)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
LightSeq: A High Performance Library for Sequence Processing and Generation
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard
Pre-trained Chinese ELECTRA(中文ELECTRA预训练模型)
[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator
Must-read Papers on Knowledge Editing for Large Language Models.
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。