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linux上用flask部署调用的时候,多次调用模型就卡住了

Open Blue-FatMan opened this issue 7 months ago • 0 comments

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❓ Questions and Help

linux上多次调用模型就卡住了,卡在0%或者需要很久几分钟才能出来 模型文件是这里面下载的https://modelscope.cn/models/iic/SenseVoiceSmall/files Image

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  2. search the docs.

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Image

Code

MODEL = AutoModel( model=model_dir, # vad_model="fsmn-vad", # vad_kwargs={"max_single_segment_time": 30000}, # device="cuda:0", disable_update=True, batch_size_s=60, merge_vad=True, # merge_length_s=15, hub="hf", )

res = MODEL.generate(
    input=audio_path,
    cache={},
    language="auto",  # "zn", "en", "yue", "ja", "ko", "nospeech"
    use_itn=True,
    batch_size_s=60,
    merge_vad=True,  #
    merge_length_s=15,
)

What have you tried?

What's your environment?

  • OS (e.g., Linux): Ubuntu 18.04.1 LTS
  • FunASR Version (e.g., 1.0.0): 1.2.6
  • ModelScope Version (e.g.,1.11.0):
  • PyTorch Version (e.g., 2.0.0): 2.6.0
  • How you installed funasr (pip, source): https://pypi.tuna.tsinghua.edu.cn/packages
  • Python version: 3.10
  • GPU (e.g., V100M32)
  • CUDA/cuDNN version (e.g., cuda11.7):
  • Docker version (e.g., funasr-runtime-sdk-cpu-0.4.1)
  • Any other relevant information: -- 系统资源: 2核8G

Blue-FatMan avatar Mar 20 '25 05:03 Blue-FatMan