Blazing Fast SetFit Inference with 🤗 Optimum Intel on Xeon
SetFit is a promising solution for a common modeling problem: how to deal with lack of labeled data for training. Developed with Hugging Face’s research partners at Intel Labs and the UKP Lab, SetFit is an efficient framework for few-shot fine-tuning of Sentence Transformers models.
SetFit achieves high accuracy with little labeled data – for example, SetFit outperforms GPT-3.5 in 3-shot prompting and with 5 shot it also outperforms 3-shot GPT-4 on the Banking 77 financial intent dataset.
Compared to LLM based methods, SetFit has two unique advantages:
🗣 No prompts