FunASR
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modelscope
docker gpu 镜像，使用 iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch 模型时导出报错
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🐛 Bug
使用funasr-gpu的docker 版本，model_dir 设置 iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch 时运行，导出
To Reproduce
Steps to reproduce the behavior (always include the command you ran):
2025-03-04 14:59:43,485 - modelscope - INFO - Use user-specified model revision: master
model is not exist, begin to export /workspace/models/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/model_blade.torchscript
funasr version: 1.2.4.
Check update of funasr, and it would cost few times. You may disable it by set disable_update=True in AutoModel
You are using the latest version of funasr-1.2.4
Code sample
Expected behavior
Environment
- OS (e.g., Linux): Linux
- FunASR Version (e.g., 1.0.0): 1.2.4
- ModelScope Version (e.g., 1.11.0):
- PyTorch Version (e.g., 2.0.0):
- How you installed funasr (
pip, source): - Python version:
- 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:
