pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

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

Neural question generation using transformers

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

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。

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

Github repo with tutorials to fine tune transformers for diff NLP tasks

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Crosslingual Generalization through Multitask Finetuning

Keywords to Sentences

simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.

Transformers 3rd Edition

Multilingual/multidomain question generation datasets, models, and python library for question generation.

An NLP system for generating reading comprehension questions

MinT: Minimal Transformer Library and Tutorials

Code and data for crosstalk text generation tasks, exploring whether large models and pre-trained language models can understand humor.

A wrapper of LLMs that biases its behaviour using prompts and contexts in a transparent manner to the end-users

Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.

中文AI写作（写诗或写对联）

Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)