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| | | - FunASR supplies a easy-to-use pipeline to finetune pretrained models from [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition) |
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| | | - 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. |
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| | | |
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| | | ## Installation(Training and Developing) |
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| | | ## Installation |
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| | | - Install Conda: |
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| | | ``` sh |
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| | | pip install --editable ./ |
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| | | ``` |
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| | | |
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| | | ## Pretrained Model Zoo |
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| | | |
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| | | We have trained many academic and industrial models, [model hub](docs/modelscope_models.md) |
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| | | |
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| | | ## Contact |
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| | | |
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| | | If you have any questions about FunASR, please contact us by |
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| | | - email: [funasr@list.alibaba-inc.com](funasr@list.alibaba-inc.com) |
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| | | |
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| | | - Dingding group: |
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| | | <div align="left"><img src="docs/images/dingding.jpg" width="250"/>!<img src="docs/images/wechat.png" width="222"/></div> |
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| | | <div align="left"><img src="docs/images/dingding.jpg" width="250"/> <img src="docs/images/wechat.png" width="222"/></div> |
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| | | |
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| | | |
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| | | ## Acknowledge |
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