huggingface/setfit
SetFit is a few-shot fine-tuning framework for Sentence Transformers that achieves high accuracy with minimal labeled data.
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SetFit enables efficient few-shot learning by fine-tuning sentence transformer models without requiring handcrafted prompts or verbalizers. It generates rich embeddings from text examples and supports multilingual classification. The framework is significantly faster than large-scale few-shot methods like T0 or GPT-3 while remaining competitive in accuracy.
Frequently asked
- What is huggingface/setfit?
- SetFit is a few-shot fine-tuning framework for Sentence Transformers that achieves high accuracy with minimal labeled data.
- Is setfit open source?
- Yes — huggingface/setfit is open source, released under the Apache-2.0 license.
- What language is setfit written in?
- huggingface/setfit is primarily written in Jupyter Notebook.
- How popular is setfit?
- huggingface/setfit has 2.8k stars on GitHub.
- Where can I find setfit?
- huggingface/setfit is on GitHub at https://github.com/huggingface/setfit.