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whisper model type — works with stock onnx-asr, no patches needed).
fp32 and int8 variants included; int8 decoder produced by quantizing the pre-merge
decoders and re-merging (the merged graph's If-subgraphs defeat direct quantization).language: [en]). Do not use for
other languages.1import onnx_asr
2model = onnx_asr.load_model("whisper", "path/to/this/repo") # or quantization="int8"
3print(model.recognize("audio_16khz.wav", language="en"))transformers pipeline output exactly. RTF on an AMD Ryzen 5 7600 (6C/12T CPU,
shared/loaded host): ~0.9-2.0 fp32, ~0.6-1.0 int8 (wide range reflects host contention
during measurement, not model instability).