SetFit

SetFit is an efficient and prompt-free framework for few-shot fine-tuning of Sentence Transformers. It achieves high accuracy with little labeled data - for instance, with only 8 labeled examples per class on the Customer Reviews sentiment dataset, SetFit is competitive with fine-tuning RoBERTa Large on the full training set of 3k examples.

Features

Few-shot learning for text classification
Optimized for efficiency with minimal labeled data
Uses contrastive learning for improved performance
Compatible with Hugging Face Transformers
Works with various sentence embedding models
Supports rapid fine-tuning and inference

Project Samples

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License

Apache License V2.0

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Natural Language Processing (NLP) Tool, Python LLM Inference Tool

Registered

2025-01-22

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