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Export sense-voice to torchscript (#692)
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name: export-sense-voice | ||
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on: | ||
push: | ||
branches: | ||
- export-sense-voice | ||
workflow_dispatch: | ||
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concurrency: | ||
group: export-sense-voice-${{ github.ref }} | ||
cancel-in-progress: true | ||
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jobs: | ||
export-sense-voice: | ||
if: github.repository_owner == 'k2-fsa' || github.repository_owner == 'csukuangfj' | ||
name: export sense voice | ||
runs-on: ${{ matrix.os }} | ||
strategy: | ||
fail-fast: false | ||
matrix: | ||
os: [macos-latest] | ||
python-version: ["3.10"] | ||
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steps: | ||
- uses: actions/checkout@v4 | ||
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- name: Setup Python ${{ matrix.python-version }} | ||
uses: actions/setup-python@v5 | ||
with: | ||
python-version: ${{ matrix.python-version }} | ||
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- name: Install dependencies | ||
shell: bash | ||
run: | | ||
pip install torch==2.0.0 torchaudio==2.0.1 onnxruntime onnx kaldi-native-fbank funasr numpy==1.26.4 | ||
cd /tmp | ||
pushd /tmp | ||
git clone --depth 1 https://github.com/modelscope/FunASR | ||
popd | ||
- name: Export | ||
shell: bash | ||
run: | | ||
pushd scripts/sense-voice | ||
export PYTHONPATH=/tmp/FunASR/runtime/python/libtorch:PYTHONPATH | ||
./run.sh | ||
- name: Collect results | ||
shell: bash | ||
run: | | ||
d=sherpa-sense-voice-zh-en-ja-ko-yue-2025-01-06 | ||
mkdir $d | ||
mv -v scripts/sense-voice/model.pt $d/ | ||
mv -v scripts/sense-voice/tokens.txt $d/ | ||
mv -v scripts/sense-voice/README.md $d/ | ||
mv -v scripts/sense-voice/bpe.model $d/ | ||
pushd $d | ||
mkdir test_wavs | ||
cd test_wavs | ||
wget https://huggingface.co/csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/resolve/main/test_wavs/en.wav | ||
wget https://huggingface.co/csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/resolve/main/test_wavs/ja.wav | ||
wget https://huggingface.co/csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/resolve/main/test_wavs/ko.wav | ||
wget https://huggingface.co/csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/resolve/main/test_wavs/yue.wav | ||
wget https://huggingface.co/csukuangfj/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-2024-07-17/resolve/main/test_wavs/zh.wav | ||
popd | ||
ls -lh $d | ||
tar cjvf $d.tar.bz2 $d | ||
- name: Release | ||
uses: svenstaro/upload-release-action@v2 | ||
with: | ||
file_glob: true | ||
file: ./*.tar.bz2 | ||
overwrite: true | ||
repo_name: k2-fsa/sherpa | ||
repo_token: ${{ secrets.UPLOAD_GH_SHERPA_TOKEN }} | ||
tag: asr-models | ||
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- name: Publish ${{ matrix.model }} to huggingface | ||
shell: bash | ||
env: | ||
HF_TOKEN: ${{ secrets.HF_TOKEN }} | ||
run: | | ||
src=sherpa-sense-voice-zh-en-ja-ko-yue-2025-01-06 | ||
git config --global user.email "[email protected]" | ||
git config --global user.name "Fangjun Kuang" | ||
export GIT_CLONE_PROTECTION_ACTIVE=false | ||
export GIT_LFS_SKIP_SMUDGE=1 | ||
rm -rf huggingface | ||
git clone https://csukuangfj:[email protected]/csukuangfj/$src huggingface | ||
rm -rf huggingface/* | ||
cp -av $src/* ./huggingface/ | ||
cd huggingface | ||
git status | ||
ls -lh | ||
git lfs track "*.pt*" | ||
git add . | ||
git commit -m "upload $src" || true | ||
git push https://csukuangfj:[email protected]/csukuangfj/$src main || true | ||
- name: Publish ${{ matrix.model }} to huggingface | ||
shell: bash | ||
env: | ||
HF_TOKEN: ${{ secrets.HF_TOKEN }} | ||
run: | | ||
src=sherpa-sense-voice-zh-en-ja-ko-yue-2025-01-06 | ||
git config --global user.email "[email protected]" | ||
git config --global user.name "Fangjun Kuang" | ||
export GIT_CLONE_PROTECTION_ACTIVE=false | ||
export GIT_LFS_SKIP_SMUDGE=1 | ||
rm -rf huggingface | ||
git clone https://csukuangfj:[email protected]/k2-fsa/sherpa-models huggingface | ||
cp -av $src.tar.bz2 ./huggingface/non-streaming-asr | ||
cd huggingface | ||
git status | ||
ls -lh | ||
git lfs track "*.tar.bz2*" | ||
git add . | ||
git commit -m "upload $src" || true | ||
git push https://csukuangfj:[email protected]/k2-fsa/sherpa-models main || true | ||
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#!/usr/bin/env python3 | ||
# Copyright 2025 Xiaomi Corp. (authors: Fangjun Kuang) | ||
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import numpy as np | ||
from funasr_torch import SenseVoiceSmall | ||
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def generate_tokens(m): | ||
sp = m.tokenizer.sp | ||
with open("tokens.txt", "w", encoding="utf-8") as f: | ||
for i in range(sp.vocab_size()): | ||
f.write(f"{sp.id_to_piece(i)} {i}\n") | ||
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def generate_bpe_model(m): | ||
with open("bpe.model", "wb") as f: | ||
f.write(m.tokenizer.sp.serialized_model_proto()) | ||
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def main(): | ||
model_dir = "iic/SenseVoiceSmall" | ||
model = SenseVoiceSmall(model_dir, batch_size=1, device="cpu") | ||
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generate_tokens(model) | ||
generate_bpe_model(model) | ||
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meta_data = { | ||
"model_type": "SenseVoiceSmall", | ||
"lfr_window_size": str(model.frontend.lfr_m), | ||
"lfr_window_shift": str(model.frontend.lfr_n), | ||
"neg_mean": model.frontend.cmvn[0].astype(np.float32).tobytes(), | ||
"inv_stddev": model.frontend.cmvn[1].astype(np.float32).tobytes(), | ||
"vocab_size": str(model.tokenizer.get_vocab_size()), | ||
"normalize_samples": "0", # input should be in the range [-32768, 32767] | ||
"version": "1", | ||
"model_author": "iic", | ||
"maintainer": "k2-fsa", | ||
"lang_auto": str(model.lid_dict["auto"]), | ||
"lang_zh": str(model.lid_dict["zh"]), | ||
"lang_en": str(model.lid_dict["en"]), | ||
"lang_yue": str(model.lid_dict["yue"]), # cantonese | ||
"lang_ja": str(model.lid_dict["ja"]), | ||
"lang_ko": str(model.lid_dict["ko"]), | ||
"lang_nospeech": str(model.lid_dict["nospeech"]), | ||
"with_itn": str(model.textnorm_dict["withitn"]), | ||
"without_itn": str(model.textnorm_dict["woitn"]), | ||
"url": "https://huggingface.co/FunAudioLLM/SenseVoiceSmall", | ||
} | ||
print(meta_data) | ||
model.ort_infer.save("model.pt", _extra_files=meta_data) | ||
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if __name__ == "__main__": | ||
main() |
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#!/usr/bin/env bash | ||
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python3 ./export.py | ||
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ls -lh tokens.txt model.pt bpe.model | ||
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cat >README.md << EOF | ||
# Introduction | ||
Models in this file are converted from | ||
https://www.modelscope.cn/models/iic/SenseVoiceSmall/summary | ||
EOF |