---
title: README
emoji: ⚡
colorFrom: red
colorTo: indigo
sdk: static
pinned: true
license: apache-2.0
short_description: Fast and Effective Text Classification with Many Classes
---


![fastfit_banner_white](https://github.com/IBM/fastfit/assets/23455264/a4de0a5e-b43a-462b-b1f2-9509ec873e76)

FastFit, a method, and a Python package design to provide fast and accurate few-shot classification, especially for scenarios with many semantically similar classes. FastFit utilizes a novel approach integrating batch contrastive learning and token-level similarity score.  Compared to existing few-shot learning packages, such as SetFit, Transformers, or few-shot prompting of large language models via API calls, FastFit significantly improves multi-class classification performance in speed and accuracy across FewMany, our newly curated English benchmark, and Multilingual datasets. FastFit demonstrates a 3-20x improvement in training speed, completing training in just a few seconds.

```bash
pip install fast-fit
```