# Hugging Face — SetFit: Efficient Few-Shot Learning Without Prompts

- Company: Hugging Face (huggingface.co)
- Announced: 2022-09-26
- Category: research-paper
- Coverage: not counted
- Announcement: yes
- Group: announcements
- Source: https://huggingface.co/blog/setfit
- Record: https://forck.live/items/2151-setfit-efficient-few-shot-learning-without-prompts
- Subject: Platform

Hugging Face, with Intel Labs and UKP Lab, introduces SetFit, a framework for few-shot fine-tuning of Sentence Transformers that does not require prompts, achieves competitive accuracy with small labeled datasets, supports multilingual text classification, and trains significantly faster and cheaper than comparable methods.

## Evidence

Verbatim from https://huggingface.co/blog/setfit:

> Together with our research partners at Intel Labs and the UKP Lab, Hugging Face is excited to introduce SetFit: an efficient framework for few-shot fine-tuning of Sentence Transformers.

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Record: https://forck.live/items/2151-setfit-efficient-few-shot-learning-without-prompts
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