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OpenVINO IR export of
openai/whisper-large-v3-turbo
, quantized to
INT8
— 784 MB.
Quantization
weight compression (optimum)
Lesson
06 Whisper speech recognition
Built by
convert/convert_all.py
of the ARCademy OpenVINO courseware
Load with openvino_genai.WhisperPipeline(model_dir, device); feed 16 kHz mono float samples. 99 languages, 4 decoder layers instead of large-v3's 32 — near-large accuracy at a fraction of the cost.
from huggingface_hub import snapshot_download
model_dir = snapshot_download("circulus/whisper-large-v3-turbo-int8-ov")
Runs of circulus whisper-large-v3-turbo-int8-ov on huggingface.co
170
Total runs
1
24-hour runs
3
3-day runs
22
7-day runs
146
30-day runs
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