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| | | # Pretrained Models on ModelScope |
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| | | ## Model License |
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| | | - Apache License 2.0 |
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| | | You are free to use, copy, modify, and share FunASR models under the conditions of this agreement. You should indicate the model source and author information when using, copying, modifying and sharing FunASR models. You should keep the relevant names of models in [FunASR software].. Full model license could see [license](https://github.com/alibaba-damo-academy/FunASR/blob/main/MODEL_LICENSE) |
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| | | ## Model Zoo |
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| | | Here we provided several pretrained models on different datasets. The details of models and datasets can be found on [ModelScope](https://www.modelscope.cn/models?page=1&tasks=auto-speech-recognition). |
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| | | | [UniASR Burmese](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-my-16k-common-vocab696-pytorch/summary) | MY | Alibaba Speech Data (1000 hours) | 696 | 95M | Online | UniASR streaming offline unifying models | |
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| | | | [UniASR Hebrew](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-he-16k-common-vocab1085-pytorch/summary) | HE | Alibaba Speech Data (1000 hours) | 1085 | 95M | Online | UniASR streaming offline unifying models | |
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| | | | [UniASR Urdu](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-ur-16k-common-vocab877-pytorch/summary) | UR | Alibaba Speech Data (1000 hours) | 877 | 95M | Online | UniASR streaming offline unifying models | |
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| | | | [UniASR Turkish](https://modelscope.cn/models/damo/speech_UniASR_asr_2pass-tr-16k-common-vocab1582-pytorch/summary) | TR | Alibaba Speech Data (1000 hours) | 1582 | 95M | Online | UniASR streaming offline unifying models | |
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| | | #### Conformer Models |
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