t5

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。

翻译 - pycorrector是用于文本错误纠正的工具包。它的开发是为了方便设计，比较和共享深层文本纠错模型。

#自然语言处理#Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

翻译 - PyTorch 中的开源预训练模型框架和预训练模型 Zoo

#自然语言处理#Neural question generation using transformers

#自然语言处理#Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

#大语言模型#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.

#自然语言处理#Github repo with tutorials to fine tune transformers for diff NLP tasks

#自然语言处理#⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Crosslingual Generalization through Multitask Finetuning

Turkish BERT/DistilBERT, ELECTRA, ConvBERT and T5 models

#自然语言处理#Keywords to Sentences

Transformers 3rd Edition

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

#自然语言处理#Multilingual/multidomain question generation datasets, models, and python library for question generation.

#自然语言处理#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.

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

#自然语言处理#Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.

Open Source Modding Tools for old Call Of Duty games