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Reza2kn/shenava-nemotron3-rust
shenava-nemotron3-rust is a machine learning model from Reza2kn. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This package is a fixed-shape ONNX deployment artifact for the native Rust shenava-asr-server diarization runtime. It was exported from the gated nvidia/Nemotron-3-Diarization-preview checkpoint and is intended to be…
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Updated Sep 4, 2026
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From the Hugging Face model README
This package is a fixed-shape ONNX deployment artifact for the native Rust
shenava-asr-server diarization runtime. It was exported from the gated
nvidia/Nemotron-3-Diarization-preview checkpoint and is intended to be run
with Tract; the server does not load Python, C++, or onnxruntime at inference
time.
The graph contract is:
[1, 264, 512] and FIFO [1, 40, 512]The .silence.bin file is a learned silence embedding used by the Rust cache
compression path and must remain next to the ONNX graph. The export boundary
used NeMo once; the runtime path is pure Rust.
The output is converted into contiguous per-speaker spans and globally sorted
by (start_ms, end_ms, speaker_id). Overlapping spans remain overlapping, so
the transcript can preserve the order in which speakers appear in the audio.
Source model: nvidia/Nemotron-3-Diarization-preview
Use with:
cargo build --release --features cuda,native-diarization
./shenava-asr-server \
--diarizer-nemotron-model nemotron3-streaming.onnx \
--diarizer-native-backend gpu-or-cpu
The source checkpoint's NVIDIA model terms and access restrictions continue to apply to this derived deployment artifact.