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https://github.com/kipgparker/soft-prompt-tuning
https://github.com/kipgparker/soft-prompt-tuning
Last synced: about 1 month ago
JSON representation
- Host: GitHub
- URL: https://github.com/kipgparker/soft-prompt-tuning
- Owner: kipgparker
- License: mit
- Created: 2021-04-22T20:24:33.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-08-08T21:01:57.000Z (over 3 years ago)
- Last Synced: 2024-08-03T09:07:29.006Z (5 months ago)
- Language: Jupyter Notebook
- Size: 43 KB
- Stars: 331
- Watchers: 5
- Forks: 44
- Open Issues: 9
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- StarryDivineSky - soft-prompt-tuning - Efficient Prompt Tuning 用于参数高效的即时调整的规模的力量 (其他_NLP自然语言处理 / 其他_文本生成、文本对话)
README
# The Power of Scale for Parameter-Efficient Prompt Tuning
Implementation of soft embeddings from https://arxiv.org/abs/2104.08691v1 using Pytorch and Huggingface transformers
# Citation
```bibtex
@misc{lester2021power,
title={The Power of Scale for Parameter-Efficient Prompt Tuning},
author={Brian Lester and Rami Al-Rfou and Noah Constant},
year={2021},
eprint={2104.08691},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
```