scripts/nemo/nemotron-3.5-asr-streaming-0.6b/README.md
This directory exports the NVIDIA NeMo model
nvidia/nemotron-3.5-asr-streaming-0.6b to sherpa-onnx streaming transducer
packages.
The exporter writes the same package layout as
nvidia/nemotron-speech-streaming-en-0.6b:
encoder.onnxencoder.datadecoder.onnxjoiner.onnxtokens.txt converted from the model's SentencePiece tokenizerThe encoder metadata contains prompt_dictionary and auto_prompt_id. Users
set the per-stream language as a string; the numerical prompt id is internal.
An empty language string and auto use the model's auto-detect prompt.
As of June 2026, stable NeMo releases lack EncDecRNNTBPEModelWithPrompt,
so install NeMo from git main.
pip install Cython packaging
pip install "nemo_toolkit[asr] @ git+https://github.com/NVIDIA/NeMo.git@main"
pip install onnxruntime ipython sentencepiece
pip install kaldi-native-fbank
pip install soundfile librosa
python3 ./export_onnx.py
The script exports 80ms, 160ms, 560ms, and 1120ms chunk sizes.
Forced language:
./build/bin/sherpa-onnx \
--encoder=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/encoder.int8.onnx \
--decoder=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/decoder.int8.onnx \
--joiner=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/joiner.int8.onnx \
--tokens=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/tokens.txt \
--language=ja \
./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/test_wavs/ja.wav
Auto language:
./build/bin/sherpa-onnx \
--encoder=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/encoder.int8.onnx \
--decoder=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/decoder.int8.onnx \
--joiner=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/joiner.int8.onnx \
--tokens=./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/tokens.txt \
--language=auto \
./sherpa-onnx-nemotron-3.5-asr-streaming-0.6b-560ms-int8-2026-06-11/test_wavs/ja.wav
The same auto behavior is used when --language is omitted.