中文对话0.2B小模型（ChatLM-Chinese-0.2B），开源所有数据集来源、数据清洗、tokenizer训练、模型预训练、SFT指令微调、RLHF优化等流程的全部代码。支持下游任务sft微调，给出三元组信息抽取微调示例。
PromptCLUE, 全中文任务支持零样本学习模型
simpleT5 is built on top of PyTorch-lightning⚡️ and Transformers🤗 that lets you quickly train your T5 models.
#自然语言处理#Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)
#自然语言处理#Official implementation of the paper "CoEdIT: Text Editing by Task-Specific Instruction Tuning" (EMNLP 2023)
AraT5: Text-to-Text Transformers for Arabic Language Understanding
The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuable resource for researchers, developers, and enthusiasts, it sho...
Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
#自然语言处理#NLP model zoo for Russian
A extension of Transformers library to include T5ForSequenceClassification class.
#自然语言处理#Abstractive text summarization by fine-tuning seq2seq models.
Materials for "IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation" 🇮🇹
This repository contains the data and code for the paper "Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors" (SPNLP@ACL2022)
#自然语言处理#Training T5 to perform numerical reasoning.
#自然语言处理#In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.
End-to-End Model - Finetuned T5 for Text-to-SPARQL Task
#自然语言处理#Automated Headline generation and Aspect Based Sentiment Analysis
About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)