This repository has been archived on 2025-08-26 . You can view files and clone it, but cannot push or open issues or pull requests.
1a1b9fd2362fa00910e7461d7cfb58f83b024a33
* rnnlm model inference supports num_threads setting * rnnlm params decouple num_thread and provider with Transducer. * fix python csrc bug which offline-lm-config.cc and online-lm-config.cc arguments problem * lm_num_threads and lm_provider set default values --------- Co-authored-by: cuidongcai1035 <cuidongcai1035@wezhuiyi.com>
Introduction
Documentation: https://k2-fsa.github.io/sherpa/onnx/index.html
See https://github.com/k2-fsa/sherpa
This repo uses onnxruntime and does not depend on libtorch.
Description
Languages
C++
38.3%
Python
16.3%
Shell
7.6%
Kotlin
5.1%
JavaScript
5.1%
Other
27.4%