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Refresh public FunASR entrypoint links (#3361)
Co-authored-by: LauraGPT <lauragpt@users.noreply.github.com>
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model_zoo/modelscope_models.md

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| Model Name | Language | Training Data | Vocab Size | Parameter | Offline/Online | Notes |
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|:--------------------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:--------------------------------:|:----------:|:---------:|:--------------:|:--------------------------------------------------------------------------------------------------------------------------------|
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| [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | CN & EN | Alibaba Speech Data (60000hours) | 8404 | 220M | Offline | Duration of input wav <= 20s |
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| [Paraformer-large-long](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | CN & EN | Alibaba Speech Data (60000hours) | 8404 | 220M | Offline | Which would deal with arbitrary length input wav |
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| [Paraformer-large-long](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | CN & EN | Alibaba Speech Data (60000hours) | 8404 | 220M | Offline | Which would deal with arbitrary length input wav |
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| [Paraformer-large-en-long](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) | EN | Alibaba Speech Data (50000hours) | 10020 | 220M | Offline | Which would deal with arbitrary length input wav |
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| [Paraformer-large-Spk](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) | CN & EN | Alibaba Speech Data (60000hours) | 8404 | 220M | Offline | Supporting speaker diarizatioin for ASR results based on paraformer-large-long |
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| [Paraformer-large-contextual](https://www.modelscope.cn/models/damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/summary) | CN & EN | Alibaba Speech Data (60000hours) | 8404 | 220M | Offline | Which supports the hotword customization based on the incentive enhancement, and improves the recall and precision of hotwords. |

model_zoo/modelscope_models_zh.md

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| 模型名字 | 语言 | 训练数据 | 词典大小 | 参数量 | 非实时/实时 | 备注 |
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|:--------------------------------------------------------------------------------------------------------------------------------------------------:|:--------:|:---------------------:|:-----------------:|:----:|:-------:|:---------------------------|
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| [Paraformer-large](https://www.modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | 中文和英文 | 阿里巴巴语音数据(60000小时) | 8404 | 220M | 非实时 | 输入wav文件持续时间不超过20秒 |
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| [Paraformer-large长音频版本](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | 中文和英文 | 阿里巴巴语音数据(60000小时) | 8404 | 220M | 非实时 | 能够处理任意长度的输入wav文件 |
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| [Paraformer-large长音频版本](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) | 中文和英文 | 阿里巴巴语音数据(60000小时) | 8404 | 220M | 非实时 | 能够处理任意长度的输入wav文件 |
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| [Paraformer-large-en长音频版本](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) | 英文 | 阿里巴巴语音数据(50000小时) | 10020 | 220M | 非实时 | 能够处理任意长度的输入wav文件 |
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| [Paraformer-large-Spk](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) | 中文和英文 | 阿里巴巴语音数据(60000小时) | 8404 | 220M | 非实时 | 在长音频功能的基础上添加说话人识别功能 |
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| [Paraformer-large热词](https://www.modelscope.cn/models/damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404/summary) | 中文和英文 | 阿里巴巴语音数据(60000小时) | 8404 | 220M | 非实时 | 基于激励增强的热词定制支持,可以提高热词的召回率和准确率,输入wav文件持续时间不超过20秒 |

model_zoo/readme.md

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| Model Name | Task Details | Training Data | Parameters |
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|:------------------------------------------------------------------------------------------------------------------------------------------------------------------:|:---------------------------------------------------------------------------:|:--------------------------------:|:----------:|
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| paraformer-zh <br> ([](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗]() ) | speech recognition, with timestamps, non-streaming | 60000 hours, Mandarin | 220M |
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| paraformer-zh <br> ([](https://www.modelscope.cn/models/iic/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-pytorch/summary) [🤗]() ) | speech recognition, with timestamps, non-streaming | 60000 hours, Mandarin | 220M |
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| paraformer-zh-spk <br> ( [](https://modelscope.cn/models/damo/speech_paraformer-large-vad-punc-spk_asr_nat-zh-cn/summary) [🤗]() ) | speech recognition with speaker diarization, with timestamps, non-streaming | 60000 hours, Mandarin | 220M |
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| <nobr>paraformer-zh-online <br> ( [](https://modelscope.cn/models/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online/summary) [🤗]() )</nobr> | speech recognition, streaming | 60000 hours, Mandarin | 220M |
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| paraformer-en <br> ( [](https://www.modelscope.cn/models/damo/speech_paraformer-large-vad-punc_asr_nat-en-16k-common-vocab10020/summary) [🤗]() ) | speech recognition, with timestamps, non-streaming | 50000 hours, English | 220M |

runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-en.sh

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DEFAULT_DOCKER_OFFLINE_CPU_EN_LISTS_OSS="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/docker_lists/docker_offline_cpu_en_lists"
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DEFAULT_DOCKER_OFFLINE_CPU_EN_LISTS_GIT="https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/docs/docker_offline_cpu_en_lists"
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DEFAULT_DOCKER_OFFLINE_CPU_EN_LISTS_GIT="https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/docs/docker_offline_cpu_en_lists"
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DEFAULT_DOCKER_IMAGE_LISTS=$DEFAULT_DOCKER_OFFLINE_CPU_EN_LISTS_OSS
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DEFAULT_FUNASR_DOCKER_URL="registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr"
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DEFAULT_FUNASR_RUNTIME_RESOURCES="funasr-runtime-resources"

runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-zh.sh

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DEFAULT_DOCKER_OFFLINE_CPU_ZH_LISTS_OSS="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/docker_lists/docker_offline_cpu_zh_lists"
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DEFAULT_DOCKER_OFFLINE_CPU_ZH_LISTS_GIT="https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/docs/docker_offline_cpu_zh_lists"
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DEFAULT_DOCKER_OFFLINE_CPU_ZH_LISTS_GIT="https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/docs/docker_offline_cpu_zh_lists"
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DEFAULT_DOCKER_IMAGE_LISTS=$DEFAULT_DOCKER_OFFLINE_CPU_ZH_LISTS_OSS
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DEFAULT_FUNASR_DOCKER_URL="registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr"
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DEFAULT_FUNASR_RUNTIME_RESOURCES="funasr-runtime-resources"

runtime/deploy_tools/funasr-runtime-deploy-online-cpu-zh.sh

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DEFAULT_DOCKER_ONLINE_CPU_ZH_LISTS_OSS="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/docker_lists/docker_online_cpu_zh_lists"
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DEFAULT_DOCKER_ONLINE_CPU_ZH_LISTS_GIT="https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/docs/docker_online_cpu_zh_lists"
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DEFAULT_DOCKER_ONLINE_CPU_ZH_LISTS_GIT="https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/docs/docker_online_cpu_zh_lists"
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DEFAULT_DOCKER_IMAGE_LISTS=$DEFAULT_DOCKER_ONLINE_CPU_ZH_LISTS_OSS
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DEFAULT_FUNASR_DOCKER_URL="registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr"
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DEFAULT_FUNASR_RUNTIME_RESOURCES="funasr-runtime-resources"

runtime/docs/SDK_tutorial.md

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Download the deployment tool `funasr-runtime-deploy-offline-cpu-zh.sh`
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```shell
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curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-zh.sh;
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curl -O https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-zh.sh;
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# If there is a network problem, users in mainland China can use the following command:
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# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-zh.sh;
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```

runtime/docs/SDK_tutorial_en.md

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Download the deployment tool `funasr-runtime-deploy-offline-cpu-en.sh`
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```shell
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curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-en.sh;
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curl -O https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-en.sh;
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# If there is a network problem, users in mainland China can use the following command:
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# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-en.sh;
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```

runtime/docs/SDK_tutorial_en_zh.md

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下载部署工具`funasr-runtime-deploy-offline-cpu-en.sh`
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```shell
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curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-en.sh;
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curl -O https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-offline-cpu-en.sh;
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# 如遇到网络问题,中国大陆用户,可以使用下面的命令:
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# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-offline-cpu-en.sh;
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```

runtime/docs/SDK_tutorial_online.md

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Download the deployment tool `funasr-runtime-deploy-online-cpu-zh.sh`
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```shell
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curl -O https://raw.githubusercontent.com/alibaba-damo-academy/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-online-cpu-zh.sh;
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curl -O https://raw.githubusercontent.com/modelscope/FunASR/main/runtime/deploy_tools/funasr-runtime-deploy-online-cpu-zh.sh;
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# If there is a network problem, users in mainland China can use the following command:
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# curl -O https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/shell/funasr-runtime-deploy-online-cpu-zh.sh;
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```

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