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update docs
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@ -63,8 +63,10 @@ nohup bash run_server.sh \
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# If you want to close ssl,please add:--certfile 0
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# If you want to deploy the timestamp or nn hotword model, please set --model-dir to the corresponding model:
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# speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx(timestamp)
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# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx(hotword)
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# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx(timestamp)
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# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx(hotword)
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# If you want to load hotwords on the server side, please configure the hotwords in the host machine file ./funasr-runtime-resources/models/hotwords.txt (docker mapping address: /workspace/models/hotwords.txt):
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# One hotword per line, format (hotword weight): 阿里巴巴 20"
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```
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@ -51,12 +51,15 @@ nohup bash run_server.sh \
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--model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-onnx \
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--punc-dir damo/punc_ct-transformer_cn-en-common-vocab471067-large-onnx \
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--lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst \
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--itn-dir thuduj12/fst_itn_zh > log.out 2>&1 &
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--itn-dir thuduj12/fst_itn_zh \
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--hotword /workspace/models/hotwords.txt > log.out 2>&1 &
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# 如果您想关闭ssl,增加参数:--certfile 0
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# 如果您想使用时间戳或者nn热词模型进行部署,请设置--model-dir为对应模型:
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# damo/speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common-vocab8404-onnx(时间戳)
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# damo/speech_paraformer-large-contextual_asr_nat-zh-cn-16k-common-vocab8404-onnx(热词)
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# 如果您想在服务端加载热词,请在宿主机文件./funasr-runtime-resources/models/hotwords.txt配置热词(docker映射地址为/workspace/models/hotwords.txt):
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# 每行一个热词,格式(热词 权重):阿里巴巴 20
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```
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如果您想定制ngram,参考文档([如何训练LM](./lm_train_tutorial.md))
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