🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Code for the paper "Language Models are Unsupervised Multitask Learners"

Graph Neural Network Library for PyTorch

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Topic Modelling for Humans

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

RoBERTa中文预训练模型: RoBERTa for Chinese

Conditional Transformer Language Model for Controllable Generation

Pre-Trained Chinese XLNet（中文XLNet预训练模型）

中文预训练XLNet模型: Pre-Trained Chinese XLNet_Large