This repository has been archived on 2025-08-26.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.
keanu 1a1b9fd236 RNNLM model support lm_num_thread and lm_provider setting (#173)
* 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>
2023-06-12 15:51:27 +08:00
2023-06-04 23:03:22 +08:00
2023-02-25 21:56:25 +08:00
2023-04-15 22:17:28 +08:00
2023-02-25 21:56:25 +08:00
2023-02-25 21:56:25 +08:00
2023-06-08 09:41:04 +08:00
2023-02-22 11:30:46 +08:00
2023-04-12 19:03:37 +08:00

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
*此项目已归档,勿使用*
Readme Apache-2.0 47 MiB
Languages
C++ 38.3%
Python 16.3%
Shell 7.6%
Kotlin 5.1%
JavaScript 5.1%
Other 27.4%