Natural Language Processing
THUDM/P-tuning
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
PythonMITupdated Oct 6, 2022
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
$ git clone https://github.com/THUDM/P-tuning-v2.gitA novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)
A Unified Library for Parameter-Efficient and Modular Transfer Learning
[NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.
๐ค Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Data from GitHub ยท snapshot Sep 24, 2026