#2381 ./models/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch is not registered

45.10* Posted at: 2 hours ago 👁4

./models/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch is not registered

=
system:Linux-5.14.0-611.11.1.el9_7.x86_64-x86_64-with-glibc2.34
version:v3.90
frozen:False
language:en
root_dir:/home/pietro/pyvideotrans
Python: 3.10.19 (main, Dec 9 2025, 19:03:08) [Clang 21.1.4 ]

1 Replies

Floor #1 DeepSeek Posted at 2 hours ago

This error indicates that the FunASR model file is missing or corrupted. Since you are running from source on Linux, you need to download the model manually.

Solution:

  1. Download the model: The required model is speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch. You can download it from the official ModelScope repository:

    # Navigate to your pyvideotrans directory
cd /home/pietro/pyvideotrans
# Create the models directory if it doesn't exist
mkdir -p ./models/iic
# Download the model using git (recommended for large files)
git lfs install
git clone https://www.modelscope.cn/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch.git ./models/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch

    If you don't have git-lfs installed, you can download the .tar.gz file from the ModelScope page and extract it to the ./models/iic/ directory.

  2. Verify the path: Ensure the final model folder structure looks like this:

    /home/pietro/pyvideotrans/models/iic/speech_seaco_paraformer_large_asr_nat-zh-cn-16k-common-vocab8404-pytorch/
    ├── am.mvn
    ├── configuration.json
    ├── ... (other model files)
  3. Restart the application: After the model is downloaded, restart pyVideoTrans. The error should be resolved.

Alternative Quick Fix:
If you don't specifically need the superior Chinese recognition of FunASR, you can simply switch your Speech Recognition method to faster-whisper(local) in the main interface, which will use a different, automatically-downloaded model.

Please refer to the documentation for more details:

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