# zjunlp/DART

<https://repo.masters-masters.com/en/repos/zjunlp/DART>

[Home](https://repo.masters-masters.com/en) › [zjunlp](https://repo.masters-masters.com/en/owners/zjunlp) › [DART](https://repo.masters-masters.com/en/repos/zjunlp/DART)

zjunlp/DART has 131 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2022\] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot…

| Field | Value |
| --- | --- |
| Owner | [zjunlp](https://repo.masters-masters.com/en/owners/zjunlp) |
| Stars | 131 |
| Forks | 17 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | prompt-tuning, pre-trained-language-models, few-shot-learning, prompt, dart, prompt-learning, iclr, iclr2022, pytorch, language-models |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [zjunlp/DART](https://github.com/zjunlp/DART) |

## Repository

\[ICLR 2022\] Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.