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# 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
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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

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* `decoding_model_name`:指定用于推理的模型名
以下参数也可以进行设置。但是如果没有特别的需求,可以忽略,直接使用我们给定的默认值:
`modelscope_model_name`:微调时使用的初始模型
`required_files`使用modelscope接口进行推理时需要用到的文件
* `modelscope_model_name`:微调时使用的初始模型
* `required_files`使用modelscope接口进行推理时需要用到的文件
## 注意事项
部分模型可能在微调、推理时存在一些特有的参数这部分参数可以在对应目录的README.md文件中找到具体用法。