SPRINT is a scalable framework for differentially private (DP) fine-tuning and inference via multiparty computation (MPC) of transformer-based models. SPRINT is built on top of PyTorch, Opacus for DP fine-tuning and CrypTen for MPC inference. - View it on GitHub