LightSeq: A High Performance Library for Sequence Processing and Generation
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
Build and train state-of-the-art natural language processing models using BERT
Calculate perplexity on a text with pre-trained language models. Support MLM (eg. DeBERTa), recurrent LM (eg. GPT3), and encoder-decoder LM (eg. Flan-T5).
Official implementation of the paper "IteraTeR: Understanding Iterative Revision from Human-Written Text" (ACL 2022)
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