fix build_trainer param

jmwang66

2023-02-09 3d54e6134c3884ada8a22fe8d1b15dc58edbd26f

 README.md

@@ -2,7 +2,7 @@

# FunASR: A Fundamental End-to-End Speech Recognition Toolkit

<strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！[Model Zoo](docs/modelscope_models.md)
<strong>FunASR</strong> hopes to build a bridge between academic research and industrial applications on speech recognition. By supporting the training & finetuning of the industrial-grade speech recognition model released on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition), researchers and developers can conduct research and production of speech recognition models more conveniently, and promote the development of speech recognition ecology. ASR for Fun！

## Release Notes: 
### 2023.1.16, funasr-0.1.6
@@ -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)
@@ -61,21 +62,30 @@
pip install --editable ./
```

## Usage
For users who are new to FunASR and ModelScope, please refer to [FunASR Docs](https://alibaba-damo-academy.github.io/FunASR/index.html).

## Contact

If you have any questions about FunASR, please contact us by

- 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.