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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 setfit

INTEGRATION 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