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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
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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
Before asking:
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- search the docs.
What is your question?
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