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