Sherpa provides C++ and Python APIs for running pre-trained automatic speech recognition models. It focuses exclusively on deployment and inference of end-to-end models, specifically transducer-based and CTC-based architectures. The framework is part of the k2-fsa ecosystem and is designed to serve speech-to-text workloads without training or fine-tuning capabilities.