From 79bd015ab0ded4e5aed1b1ecf32fcbc84eefde68 Mon Sep 17 00:00:00 2001 From: zhifu gao <zhifu.gzf@alibaba-inc.com> Date: 星期五, 03 二月 2023 17:42:47 +0800 Subject: [PATCH] Merge pull request #58 from alibaba-damo-academy/dev --- README.md | 17 ++++++++++++----- 1 files changed, 12 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index d79e072..bf5b7a4 100644 --- a/README.md +++ b/README.md @@ -40,16 +40,17 @@ ``` For more versions, please see [https://pytorch.org/get-started/locally](https://pytorch.org/get-started/locally) +- Install ModelScope: -If you are in the area of China, you could set the source to speed the downloading. +If you are in the area of China, you could set the source to speedup the downloading. ``` sh pip config set global.index-url https://mirror.sjtu.edu.cn/pypi/web/simple ``` -- Install ModelScope: +Install or upgrade modelscope. ``` sh -pip install "modelscope[audio]" -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html +pip install "modelscope[audio]" --upgrade -f https://modelscope.oss-cn-beijing.aliyuncs.com/releases/repo.html ``` For more details about modelscope, please see [modelscope installation](https://modelscope.cn/docs/%E7%8E%AF%E5%A2%83%E5%AE%89%E8%A3%85) @@ -67,15 +68,21 @@ - email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com) -- Dingding group: -<div align="left"><img src="docs/images/dingding.jpg" width="250"/> <img src="docs/images/wechat.png" width="222"/></div> +|Dingding group | Wechat group| +|:---:|:---:| +|<div align="left"><img src="docs/images/dingding.jpg" width="250"/> |<img src="docs/images/wechat.png" width="222"/></div>| +## Contributors + +| <div align="left"><img src="docs/images/DeepScience.png" width="250"/> | +|:---:| ## Acknowledge 1. We borrowed a lot of code from [Kaldi](http://kaldi-asr.org/) for data preparation. 2. We borrowed a lot of code from [ESPnet](https://github.com/espnet/espnet). FunASR follows up the training and finetuning pipelines of ESPnet. 3. We referred [Wenet](https://github.com/wenet-e2e/wenet) for building dataloader for large scale data training. +4. We acknowledge [DeepScience](https://www.deepscience.cn) for contributing the grpc service. ## License This project is licensed under the [The MIT License](https://opensource.org/licenses/MIT). FunASR also contains various third-party components and some code modified from other repos under other open source licenses. -- Gitblit v1.9.1