python/FunASR-XL.git

			@@ -23,7 +23,7 @@
			- FunASR supplies a easy-to-use pipeline to finetune pretrained models from [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition)
			- Compared to [Espnet](https://github.com/espnet/espnet) framework, the training speed of large-scale datasets in FunASR is much faster owning to the optimized dataloader.

			## Installation(Training and Developing)
			## Installation

			- Install Conda:
			``` sh
			@@ -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)
			@@ -61,18 +62,14 @@
			pip install --editable ./
			```

			## Pretrained Model Zoo

			We have trained many academic and industrial models, [model hub](docs/modelscope_models.md)

			## 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 and Wechat group:
			<div align="left"><img src="docs/images/dingding.jpg" width="250"/> <img src="docs/images/wechat.png" width="222"/></div>


			## Acknowledge