#Sentence Transformers

SetFit is an efficient framework that fine-tunes Sentence Transformers for few-shot learning without prompts, requiring minimal labeled data. It enhances training speed and supports multilingual tasks, offering a competitive edge with high accuracy using just eight samples per class. Seamlessly integrates with Hugging Face Hub for straightforward training and deployment across different text classifications.

The framework offers sentence, paragraph, and image embedding solutions via BERT and RoBERTa models across 100+ languages. It includes a wide range of pre-trained models suited for various applications and allows fine-tuning for specific tasks. Features include multilingual learning, ideal for semantic search and clustering. Fully compatible with PyTorch, easily installable via pip or conda.