# THUDM/P-tuning

<https://repo.masters-masters.com/en/repos/THUDM/P-tuning>

[Home](https://repo.masters-masters.com/en) › [THUDM](https://repo.masters-masters.com/en/owners/THUDM) › [P-tuning](https://repo.masters-masters.com/en/repos/THUDM/P-tuning)

THUDM/P-tuning has 938 stars on GitHub. Its RepoMasters card: Beta tier. A novel method to tune language models. Codes and datasets for paper \`\`GPT…

| Field | Value |
| --- | --- |
| Owner | [THUDM](https://repo.masters-masters.com/en/owners/THUDM) |
| Stars | 938 |
| Forks | 112 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | natural-language-processing, pre-trained-language-models, prompt-tuning, p-tuning, parameter-efficient-learning, few-shot-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [THUDM/P-tuning](https://github.com/THUDM/P-tuning) |

## Repository

A novel method to tune language models. Codes and datasets for paper \`\`GPT understands, too''.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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