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。

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

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.

⚡ 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.

An NLP system for generating reading comprehension questions

MinT: Minimal Transformer Library and Tutorials

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

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）

Text-to-SQL in the Wild: A Naturally-Occurring Dataset Based on Stack Exchange Data

Abstractive and Extractive Text summarization using Transformers.

Call of Duty: Black Ops Zombies - Reimagined