zukky/LiteASR-ONNX-DLL
By zukky · ↓ 0 · ♥ 0 · Updated 2026-02-03
What's in this repo
This page lists the files in zukky/LiteASR-ONNX-DLL, including decoder_model.onnx, decoder_with_past_model.onnx, encoder_model.onnx and more.
- 18 ONNX models (.onnx files)
- 81 files, including 48 .json, 18 .onnx, 6 .data, 3 .py, 2 .md, 1 .dll
- Last updated 2026-02-03
ONNX files
| File | Size | Download |
|---|---|---|
| models/efficient-speech__lite-whisper-large-v3-acc/onnx/decoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-acc/onnx/decoder_with_past_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-acc/onnx/encoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-fast/onnx/decoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-fast/onnx/decoder_with_past_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-fast/onnx/encoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-turbo-acc/onnx/decoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-turbo-acc/onnx/decoder_with_past_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-turbo-acc/onnx/encoder_model.onnx | — | Download |
| models/efficient-speech__lite-whisper-large-v3-turbo-fast/onnx/decoder_model.onnx | — | Download |
Showing 10 of 18 .onnx files — see the full file list on the right.
How to use
These ONNX files can be loaded with ONNX Runtime. To inspect a model graph, upload the file to the Netron viewer. Download links point to the original files on Hugging Face.
README
--- license: apache-2.0 library_name: onnxruntime pipeline_tag: automatic-speech-recognition tags:
- automatic-speech-recognition
- whisper
- onnx
LiteASR-ONNX release_dll bundle
This folder is generated by make_release_dll.ps1 and is prepared for distribution/use in Hugging Face style repositories.
It bundles:
- Rust FFI DLL (
bin/liteasr_ffi.dll) - C ABI header (
include/liteasr_ffi.h) - Python FFI + ONNXRuntime client (
ffi_python/) - ONNX/tokenizer assets (
models/) - third-party dependency notes (
thirdparty_licence.md)
Included models
- (none copied)
Folder layout
bin/liteasr_ffi.dll: Rust FFI runtime libraryinclude/liteasr_ffi.h: C ABI header for native bindingsffi_python/liteasr_ffi.py: ctypes wrapper for DLLffi_python/onnx_transcribe_ffi.py: ONNXRuntime pipeline using DLL helpersmodels/<model_name>/onnx/: ONNX files (encoder/decoder/decoder_with_past)models/<model_name>/tokenizer/: tokenizer/config JSON filesthirdparty_licence.md: dependency license inventory
Quick start (Python)
cd ffi_python
uv run python onnx_transcribe_ffi.py --dll-path ..\bin\liteasr_ffi.dll --model-name efficient-speech__lite-whisper-large-v3-turbo-acc --audio ..\..\samples\a01.wav --out-dir ..\artifacts_a01
Regenerate bundle
All models:
./make_release_dll.ps1 -Clean -IncludeAllModels
Selected models:
./make_release_dll.ps1 -Clean -ModelNames efficient-speech__lite-whisper-large-v3-turbo-acc
Notes
- Some ONNX exports may require
.onnx.datasidecar files; these are copied when present. - Model weights/tokenizer terms are governed by the original model publishers.
thirdparty_licence.mdis for engineering reference, not legal advice.
Model info
Created: 2026-02-02
Updated: 2026-02-03
View on Hugging Face