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icefall/.github/scripts/multi_zh-hans/ASR/run.sh

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#!/usr/bin/env bash
set -ex
git config --global user.name "k2-fsa"
git config --global user.email "csukuangfj@gmail.com"
git config --global lfs.allowincompletepush true
python3 -m pip install onnxmltools==1.13.0 onnx==1.17.0 onnxruntime==1.17.1 sherpa-onnx
log() {
# This function is from espnet
local fname=${BASH_SOURCE[1]##*/}
echo -e "$(date '+%Y-%m-%d %H:%M:%S') (${fname}:${BASH_LINENO[0]}:${FUNCNAME[1]}) $*"
}
cd egs/multi_zh-hans/ASR
log "pwd: $PWD"
function run_2023_9_2() {
repo_url=https://huggingface.co/zrjin/icefall-asr-multi-zh-hans-zipformer-2023-9-2
log "Downloading pre-trained model from $repo_url"
GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url
repo=$(basename $repo_url)
pushd $repo
cd exp
git lfs pull --include pretrained.pt
ln -s pretrained.pt epoch-99.pt
cd ../data/lang_bpe_2000
ls -lh
git lfs pull --include L.pt L_disambig.pt Linv.pt bpe.model
git lfs pull --include "*.model"
ls -lh
popd
log "--------------------------------------------"
log "Export non-streaming ONNX transducer models "
log "--------------------------------------------"
./zipformer/export-onnx.py \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
--use-averaged-model 0 \
--epoch 99 \
--avg 1 \
--exp-dir $repo/exp \
--causal False \
--fp16 1
ls -lh $repo/exp
./zipformer/onnx_pretrained.py \
--encoder-model-filename $repo/exp/encoder-epoch-99-avg-1.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-99-avg-1.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-99-avg-1.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav \
$repo/test_wavs/DEV_T0000000001.wav \
$repo/test_wavs/DEV_T0000000002.wav \
$repo/test_wavs/TEST_MEETING_T0000000113.wav \
$repo/test_wavs/TEST_MEETING_T0000000219.wav \
$repo/test_wavs/TEST_MEETING_T0000000351.wav
./zipformer/onnx_pretrained.py \
--encoder-model-filename $repo/exp/encoder-epoch-99-avg-1.int8.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-99-avg-1.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-99-avg-1.int8.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav \
$repo/test_wavs/DEV_T0000000001.wav \
$repo/test_wavs/DEV_T0000000002.wav \
$repo/test_wavs/TEST_MEETING_T0000000113.wav \
$repo/test_wavs/TEST_MEETING_T0000000219.wav \
$repo/test_wavs/TEST_MEETING_T0000000351.wav
./zipformer/onnx_pretrained.py \
--encoder-model-filename $repo/exp/encoder-epoch-99-avg-1.fp16.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-99-avg-1.fp16.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-99-avg-1.fp16.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav \
$repo/test_wavs/DEV_T0000000001.wav \
$repo/test_wavs/DEV_T0000000002.wav \
$repo/test_wavs/TEST_MEETING_T0000000113.wav \
$repo/test_wavs/TEST_MEETING_T0000000219.wav \
$repo/test_wavs/TEST_MEETING_T0000000351.wav
rm -rf $repo
}
function run_2023_11_05_streaming() {
repo_url=https://huggingface.co/zrjin/icefall-asr-multi-zh-hans-zipformer-ctc-streaming-2023-11-05
log "Downloading pre-trained model from $repo_url"
GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url
repo=$(basename $repo_url)
pushd $repo
cd exp/
git lfs pull --include pretrained.pt
rm -fv epoch-20.pt
rm -fv *.onnx
ln -s pretrained.pt epoch-20.pt
cd ../data/lang_bpe_2000
ls -lh
git lfs pull --include L.pt L_disambig.pt Linv.pt bpe.model
git lfs pull --include "*.model"
ls -lh
popd
log "----------------------------------------"
log "Export streaming ONNX CTC models "
log "----------------------------------------"
./zipformer/export-onnx-streaming-ctc.py \
--exp-dir $repo/exp \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 20 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 1 \
--fp16 1
ls -lh $repo/exp/
log "------------------------------------------------------------"
log "Test exported streaming ONNX CTC models (greedy search) "
log "------------------------------------------------------------"
test_wavs=(
DEV_T0000000000.wav
DEV_T0000000001.wav
DEV_T0000000002.wav
TEST_MEETING_T0000000113.wav
TEST_MEETING_T0000000219.wav
TEST_MEETING_T0000000351.wav
)
for w in ${test_wavs[@]}; do
log "----fp32----"
./zipformer/onnx_pretrained-streaming-ctc.py \
--model-filename $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/$w
log "----int8----"
./zipformer/onnx_pretrained-streaming-ctc.py \
--model-filename $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.int8.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/$w
log "----fp16----"
./zipformer/onnx_pretrained-streaming-ctc.py \
--model-filename $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.fp16.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/$w
done
log "Upload onnx CTC models to huggingface"
name=(
sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13
sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-int8-2023-12-13
sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-fp16-2023-12-13
)
for n in ${name[@]}; do
url=https://huggingface.co/k2-fsa/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-2023-12-13 ]]; then
cp -v $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-int8-2023-12-13 ]]; then
cp -v $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.int8.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-ctc-multi-zh-hans-fp16-2023-12-13 ]]; then
cp -v $repo/exp/ctc-epoch-20-avg-1-chunk-16-left-128.fp16.onnx $dst
fi
cp -v $repo/data/lang_bpe_2000/tokens.txt $dst
cp -v $repo/data/lang_bpe_2000/bpe.model $dst
mkdir -p $dst/test_wavs
cp -v $repo/test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "bpe.model" "*.wav"
ls -lh
file bpe.model
git status
git add .
git commit -m "upload model" && git push https://k2-fsa:${HF_TOKEN}@huggingface.co/k2-fsa/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
log "----------------------------------------"
log "Export streaming ONNX transducer models "
log "----------------------------------------"
./zipformer/export-onnx-streaming.py \
--exp-dir $repo/exp \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 20 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 0 \
--fp16 1
ls -lh $repo/exp
log "------------------------------------------------------------"
log "Test exported streaming ONNX transducer models (Python code)"
log "------------------------------------------------------------"
log "test fp32"
./zipformer/onnx_pretrained-streaming.py \
--encoder-model-filename $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav
log "test int8"
./zipformer/onnx_pretrained-streaming.py \
--encoder-model-filename $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.int8.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.int8.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav
log "test fp16"
./zipformer/onnx_pretrained-streaming.py \
--encoder-model-filename $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.fp16.onnx \
--decoder-model-filename $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.fp16.onnx \
--joiner-model-filename $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.fp16.onnx \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
$repo/test_wavs/DEV_T0000000000.wav
name=(
sherpa-onnx-streaming-zipformer-multi-zh-hans-2023-12-13
sherpa-onnx-streaming-zipformer-multi-zh-hans-int8-2023-12-13
sherpa-onnx-streaming-zipformer-multi-zh-hans-fp16-2023-12-13
)
for n in ${name[@]}; do
url=https://huggingface.co/csukuangfj/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-multi-zh-hans-2023-12-13 ]]; then
cp -v $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.onnx $dst
cp -v $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.onnx $dst
cp -v $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-multi-zh-hans-int8-2023-12-13 ]]; then
cp -v $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.int8.onnx $dst
cp -v $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.onnx $dst
cp -v $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.int8.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-multi-zh-hans-fp16-2023-12-13 ]]; then
cp -v $repo/exp/encoder-epoch-20-avg-1-chunk-16-left-128.fp16.onnx $dst
cp -v $repo/exp/decoder-epoch-20-avg-1-chunk-16-left-128.fp16.onnx $dst
cp -v $repo/exp/joiner-epoch-20-avg-1-chunk-16-left-128.fp16.onnx $dst
fi
cp -v $repo/data/lang_bpe_2000/tokens.txt $dst
cp -v $repo/data/lang_bpe_2000/bpe.model $dst
mkdir -p $dst/test_wavs
cp -v $repo/test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "bpe.model" "*.wav"
ls -lh
file bpe.model
git status
git add .
git commit -m "upload model" && git push https://csukuangfj:${HF_TOKEN}@huggingface.co/csukuangfj/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
}
function run_2023_12_12_streaming() {
log "Upload onnx transducer models to huggingface"
url=https://huggingface.co/k2-fsa/sherpa-onnx-streaming-zipformer-multi-zh-hans-2023-12-12
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
cp -v $repo/exp/encoder*.onnx $dst
cp -v $repo/exp/decoder*.onnx $dst
cp -v $repo/exp/joiner*.onnx $dst
cp -v $repo/data/lang_bpe_2000/tokens.txt $dst
cp -v $repo/data/lang_bpe_2000/bpe.model $dst
mkdir -p $dst/test_wavs
cp -v $repo/test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" bpe.model "*.wav"
git add .
git commit -m "upload model" && git push https://k2-fsa:${HF_TOKEN}@huggingface.co/k2-fsa/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
}
function run_yuekai_large() {
repo_url=https://csukuangfj:${HF_TOKEN}@huggingface.co/yuekai/icefall-asr-multi-zh-hans-zipformer-large
log "Downloading pre-trained model from $repo_url"
GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url
repo=$(basename $repo_url)
pushd $repo
git lfs pull --include pretrained.pt
mv pretrained.pt epoch-99.pt
curl -SL -O https://huggingface.co/pingzxy/icefall-asr-multi-zh-hans-zipformer-large-onnx/resolve/main/tokens.txt
popd
log "----------------------------------------"
log "Export streaming ONNX CTC models "
log "----------------------------------------"
./zipformer/export-onnx-streaming-ctc.py \
--exp-dir $repo/ \
--tokens $repo/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 99 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 1 \
\
--num-encoder-layers 2,2,4,5,4,2 \
--feedforward-dim 768,1024,1536,2048,1536,768 \
--encoder-dim 256,384,512,768,512,256 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
\
--fp16 1 \
--use-whisper-features 1
ls -lh $repo/
pushd $repo
cat >README.md <<EOF
# Introduction
This model is converted
from
https://huggingface.co/yuekai/icefall-asr-multi-zh-hans-zipformer-large
The training code can be found at
https://github.com/k2-fsa/icefall/blob/master/egs/multi_zh-hans/ASR/RESULTS.md#multi-chinese-datasets-char-based-training-results-streaming-on-zipformer-large-model
EOF
mv -v ctc-epoch-99-avg-1-chunk-16-left-128.fp16.onnx model.fp16.onnx
mv -v ctc-epoch-99-avg-1-chunk-16-left-128.int8.onnx model.int8.onnx
mv -v ctc-epoch-99-avg-1-chunk-16-left-128.onnx model.onnx
ls -lh *.onnx
mkdir test_wavs
cd test_wavs
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/0.wav
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/1.wav
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/8k.wav
popd
for w in 0.wav 1.wav 8k.wav; do
log "---fp32---"
sherpa-onnx \
--zipformer2-ctc-model=$repo/model.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
log "---int8---"
sherpa-onnx \
--zipformer2-ctc-model=$repo/model.int8.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
log "---fp16---"
sherpa-onnx \
--zipformer2-ctc-model=$repo/model.fp16.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
done
name=(
sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30
sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30
sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30
)
for n in ${name[@]}; do
url=https://huggingface.co/csukuangfj/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-ctc-zh-2025-06-30 ]]; then
cp -v $repo/model.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-ctc-zh-int8-2025-06-30 ]]; then
cp -v $repo/model.int8.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-ctc-zh-fp16-2025-06-30 ]]; then
cp -v $repo/model.fp16.onnx $dst
fi
cp -v $repo/tokens.txt $dst
cp -v $repo/README.md $dst
mkdir -p $dst/test_wavs
cp -v $repo/test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "*.wav"
ls -lh
git status
git add .
git commit -m "upload model" && git push https://csukuangfj:${HF_TOKEN}@huggingface.co/csukuangfj/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
rm $repo/*.onnx
log "----------------------------------------"
log "Export streaming ONNX transducer models "
log "----------------------------------------"
./zipformer/export-onnx-streaming.py \
--exp-dir $repo \
--tokens $repo/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 99 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 0 \
\
--num-encoder-layers 2,2,4,5,4,2 \
--feedforward-dim 768,1024,1536,2048,1536,768 \
--encoder-dim 256,384,512,768,512,256 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
\
--fp16 1 \
--use-whisper-features 1
ls -lh $repo
pushd $repo
for m in encoder decoder joiner; do
mv -v $m-epoch-99-avg-1-chunk-16-left-128.onnx $m.onnx
mv -v $m-epoch-99-avg-1-chunk-16-left-128.fp16.onnx $m.fp16.onnx
mv -v $m-epoch-99-avg-1-chunk-16-left-128.int8.onnx $m.int8.onnx
done
ls -lh *.onnx
popd
for w in 0.wav 1.wav 8k.wav; do
log "---fp32---"
sherpa-onnx \
--encoder=$repo/encoder.onnx \
--decoder=$repo/decoder.onnx \
--joiner=$repo/joiner.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
log "---int8---"
sherpa-onnx \
--encoder=$repo/encoder.int8.onnx \
--decoder=$repo/decoder.onnx \
--joiner=$repo/joiner.int8.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
log "---fp16---"
sherpa-onnx \
--encoder=$repo/encoder.fp16.onnx \
--decoder=$repo/decoder.fp16.onnx \
--joiner=$repo/joiner.fp16.onnx \
--tokens=$repo/tokens.txt \
$repo/test_wavs/$w
done
name=(
sherpa-onnx-streaming-zipformer-zh-2025-06-30
sherpa-onnx-streaming-zipformer-zh-int8-2025-06-30
sherpa-onnx-streaming-zipformer-zh-fp16-2025-06-30
)
for n in ${name[@]}; do
url=https://huggingface.co/csukuangfj/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-zh-2025-06-30 ]]; then
cp -v $repo/encoder.onnx $dst
cp -v $repo/decoder.onnx $dst
cp -v $repo/joiner.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-zh-int8-2025-06-30 ]]; then
cp -v $repo/encoder.int8.onnx $dst
cp -v $repo/decoder.onnx $dst
cp -v $repo/joiner.int8.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-zh-fp16-2025-06-30 ]]; then
cp -v $repo/encoder.fp16.onnx $dst
cp -v $repo/decoder.fp16.onnx $dst
cp -v $repo/joiner.fp16.onnx $dst
fi
cp -v $repo/tokens.txt $dst
cp -v $repo/README.md $dst
mkdir -p $dst/test_wavs
cp -v $repo/test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "*.wav"
ls -lh
git status
git add .
git commit -m "upload model" && git push https://csukuangfj:${HF_TOKEN}@huggingface.co/csukuangfj/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
}
function run_yuekai_xl() {
repo_url=https://csukuangfj:${HF_TOKEN}@huggingface.co/yuekai/icefall-asr-multi-zh-hans-zipformer-xl
log "Downloading pre-trained model from $repo_url"
GIT_LFS_SKIP_SMUDGE=1 git clone $repo_url
repo=$(basename $repo_url)
pushd $repo
git lfs pull --include pretrained.pt
git lfs pull --include data/lang_bpe_2000/bpe.model
mv pretrained.pt epoch-99.pt
ls -lh *.pt
popd
log "----------------------------------------"
log "Export streaming ONNX CTC models "
log "----------------------------------------"
./zipformer/export-onnx-streaming-ctc.py \
--exp-dir $repo/ \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 99 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 1 \
\
--num-encoder-layers 2,3,5,6,5,3 \
--feedforward-dim 1536,2048,3072,4096,3072,1536 \
--encoder-dim 512,768,1024,1536,1024,512 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
--decoder-dim 768 --joiner-dim 768 \
--value-head-dim 18 \
--query-head-dim 48 \
--num-heads 4,4,4,8,4,4 \
\
--fp16 1 \
--use-whisper-features 1 \
--use-external-data 1
mv -v ctc-epoch-99-avg-1-chunk-16-left-128.int8.onnx model.int8.onnx
mv -v ctc-epoch-99-avg-1-chunk-16-left-128.fp16.onnx model.fp16.onnx
ls -lh *.onnx
mkdir test_wavs
pushd test_wavs
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/0.wav
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/1.wav
curl -SL -O https://huggingface.co/csukuangfj/sherpa-onnx-streaming-zipformer-small-ctc-zh-int8-2025-04-01/resolve/main/test_wavs/8k.wav
popd
for w in 0.wav 1.wav 8k.wav; do
log "---int8---"
sherpa-onnx \
--zipformer2-ctc-model=./model.int8.onnx \
--tokens=$repo/data/lang_bpe_2000/tokens.txt \
test_wavs/$w
log "---fp16---"
sherpa-onnx \
--zipformer2-ctc-model=./model.fp16.onnx \
--tokens=$repo/data/lang_bpe_2000/tokens.txt \
test_wavs/$w
done
pushd $repo
cat >README.md <<EOF
# Introduction
This model is converted
from
https://huggingface.co/yuekai/icefall-asr-multi-zh-hans-zipformer-xl
The training code can be found at
https://github.com/k2-fsa/icefall/blob/master/egs/multi_zh-hans/ASR/RESULTS.md#multi-chinese-datasets-char-based-training-results-streaming-on-zipformer-xl-model
EOF
popd
name=(
sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-int8-2025-06-30
sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-fp16-2025-06-30
)
for n in ${name[@]}; do
url=https://huggingface.co/csukuangfj/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-fp16-2025-06-30 ]]; then
cp -v model.fp16.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-ctc-zh-xlarge-int8-2025-06-30 ]]; then
cp -v model.int8.onnx $dst
fi
cp -v $repo/data/lang_bpe_2000/tokens.txt $dst
cp -v $repo/data/lang_bpe_2000/bpe.model $dst
cp -v $repo/README.md $dst
mkdir -p $dst/test_wavs
cp -v ./test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "*.wav" "bpe.model"
ls -lh
git status
git add .
git commit -m "upload model" && git push https://csukuangfj:${HF_TOKEN}@huggingface.co/csukuangfj/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
ls -lh $dst
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
rm -fv *.onnx *.weights
log "----------------------------------------"
log "Export streaming ONNX transducer models "
log "----------------------------------------"
./zipformer/export-onnx-streaming.py \
--exp-dir $repo/ \
--tokens $repo/data/lang_bpe_2000/tokens.txt \
--causal 1 \
--avg 1 \
--epoch 99 \
--use-averaged-model 0 \
--chunk-size 16 \
--left-context-frames 128 \
--use-ctc 0 \
\
--num-encoder-layers 2,3,5,6,5,3 \
--feedforward-dim 1536,2048,3072,4096,3072,1536 \
--encoder-dim 512,768,1024,1536,1024,512 \
--encoder-unmasked-dim 192,192,256,320,256,192 \
--decoder-dim 768 --joiner-dim 768 \
--value-head-dim 18 \
--query-head-dim 48 \
--num-heads 4,4,4,8,4,4 \
\
--fp16 1 \
--use-whisper-features 1 \
--use-external-data 1
ls -lh *.onnx
ls -lh *.weights
mv encoder-epoch-99-avg-1-chunk-16-left-128.fp16.onnx encoder.fp16.onnx
mv encoder-epoch-99-avg-1-chunk-16-left-128.int8.onnx encoder.int8.onnx
mv $repo/decoder-epoch-99-avg-1-chunk-16-left-128.onnx decoder.onnx
mv $repo/decoder-epoch-99-avg-1-chunk-16-left-128.fp16.onnx decoder.fp16.onnx
mv $repo/joiner-epoch-99-avg-1-chunk-16-left-128.int8.onnx joiner.int8.onnx
mv $repo/joiner-epoch-99-avg-1-chunk-16-left-128.fp16.onnx joiner.fp16.onnx
name=(
sherpa-onnx-streaming-zipformer-zh-xlarge-int8-2025-06-30
sherpa-onnx-streaming-zipformer-zh-xlarge-fp16-2025-06-30
)
for n in ${name[@]}; do
url=https://huggingface.co/csukuangfj/$n
GIT_LFS_SKIP_SMUDGE=1 git clone $url
dst=$(basename $url)
if [[ $n == sherpa-onnx-streaming-zipformer-zh-xlarge-fp16-2025-06-30 ]]; then
cp -v encoder.fp16.onnx $dst
cp -v decoder.fp16.onnx $dst
cp -v joiner.fp16.onnx $dst
elif [[ $n == sherpa-onnx-streaming-zipformer-zh-xlarge-int8-2025-06-30 ]]; then
cp -v encoder.int8.onnx $dst
cp -v decoder.onnx $dst
cp -v joiner.int8.onnx $dst
fi
cp -v $repo/data/lang_bpe_2000/tokens.txt $dst
cp -v $repo/data/lang_bpe_2000/bpe.model $dst
cp -v $repo/README.md $dst
mkdir -p $dst/test_wavs
cp -v ./test_wavs/*.wav $dst/test_wavs
cd $dst
git lfs track "*.onnx" "*.wav" "bpe.model"
ls -lh
git status
git add .
git commit -m "upload model" && git push https://csukuangfj:${HF_TOKEN}@huggingface.co/csukuangfj/$dst main || true
log "Upload models to https://github.com/k2-fsa/sherpa-onnx"
rm -rf .git
rm -fv .gitattributes
cd ..
ls -lh $dst
tar cjfv $dst.tar.bz2 $dst
ls -lh *.tar.bz2
mv -v $dst.tar.bz2 ../../../
done
rm -fv *.onnx *.weights
}
# run_yuekai_large
# run_yuekai_xl
# run_2023_9_2
run_2023_11_05_streaming
# run_2023_12_12_streaming
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