selection-p / README.md
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---
license: mit
---
**Paper**: [Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability](https://arxiv.org/abs/2410.11786)
**Code**: https://github.com/TTChungC/Selection-p
```
from selectionp import SelectionP
model = SelectionP.from_pretrained('ttchungc/selection-p')
```