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OpenVoiceOS/
inesc-id-whisperlv3-ft-ep-onnx

Name: inesc-id-whisperlv3-ft-ep-onnx
Availability: InStock

onnx

whisper

automatic-speech-recognition

onnx-asr

european-portuguese

inesc-id/WhisperLv3-FT

quantized

apache-2.0

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WhisperLv3-FT (European Portuguese) — ONNX

ONNX export of inesc-id/WhisperLv3-FT (Whisper large-v3 fine-tuned for European Portuguese, CAMOES project) for onnx-asr (standard 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).

Usage

python

import onnx_asr
model = onnx_asr.load_model("whisper", "path/to/this/repo")  # or quantization="int8"
print(model.recognize("audio_16khz.wav", language="pt"))

Verified on FLEURS Portuguese clips (fluent EP output, fp32 and int8). RTF on an AMD Ryzen 5 7600 (CPU): ~0.8 fp32, ~0.4 int8.

Note: the source repo ships no tokenizer; the stock openai/whisper-large-v3 tokenizer is bundled (vocab_size matches).

OpenVoiceOS/inesc-id-whisperlv3-ft-ep-onnx

WhisperLv3-FT (European Portuguese) — ONNX

Usage

OpenVoiceOS/
inesc-id-whisperlv3-ft-ep-onnx