Comments (1)
It's the bug. Please use the pytorch1.11.0 to export the onnx. https://github.com/alibaba-damo-academy/FunASR/tree/main/funasr/export#export-model
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Related Issues (20)
- vad model的rtf为0.831是正常的吗?
- 微调iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch模型,请问大概需要多少条数据啊?我看data\list\train.jsonl里就三条数据
- 使用pipeline进行ASR时,当输入是scp文件,进程不解除输出目录的文件占用
- 使用speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch模型进行微调,导入模型失败。
- funasr.AutoModel.generate推理前强制报错+循环引用报错
- vad 采样率问题
- html始终连接失败 HOT 3
- 微调模型,数据中未收录的单词并未影响预测结果
- 请问有没有paraformer实时和vad实时的一体的gpu调用方法,以及vad录音输入问题 HOT 2
- iic/SenseVoiceSmall got: TypeError: expected Tensor as element 1 in argument 0, but got str
- speech_paraformer-large-vad-punc_asr_nat-zh-cn-16k-common 是否支持热词
- cpu和gpu的docker部署包转写错误也应该返回结果
- 关于funasr 4.5 的docker包的问题改进 HOT 1
- 用funasr加载SenseVoiceSmall模型提示 not registered HOT 2
- handle_read_handshake error: websocketpp.transport:7 HOT 2
- python fastapi进行离线文件识别报错choose a window size 400 that is [2, 0]
- NCCL 多级多卡 训练 超时问题 HOT 1
- docker gpu启动离线推理服务,报错 failed PropagateTensorShapeOnNode with schema HOT 1
- FunASRWSClient_Offline 使用docker cpu4.5版本900多mb的wav文件会丢失大量识别文本
- 命令行执行错误 HOT 2
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