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Fine-tuningFreeOpen Source
SETFIT
Prompt-free few-shot fine-tuning with sentence embeddings
Apache-2.0
ABOUT
Fine-tuning language models for classification tasks typically requires many labeled examples and prompt engineering, which is time-consuming and computationally expensive. SetFit solves this by achieving high accuracy with just a few labeled samples per class without any prompts, using efficient fine-tuning of Sentence Transformers.
INSTALL
pip install setfitINTEGRATION GUIDE
1. Text classification with very few labeled examples (8-64 samples per class) for rapid prototyping
2. Building domain-specific classifiers where labeled data is scarce or expensive to obtain
3. Creating custom NLP classifiers without prompt engineering or access to large language models
TAGS
fine-tuningfew-shotnlpsentence-transformershuggingfaceclassificationmachine-learning