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Multilingual speech recognition model listen-windy-turbo

Open speech-to-text model published by Windstorm Labs on Hugging Face.

Task: Speech-to-text (automatic speech recognition)
Language: Multilingual (the Whisper language set)
Lineage: Whisper
Formats in the repo: ct2-int8 onnx onnx-int8 safetensors
Hugging Face: WindyWord/listen-windy-turbo
Last updated on HF: 2026-08-05

Quality

Not benchmarked by this site yet. Speech models have no published word-error rates here; any figures in the Hugging Face card were not re-measured by us.

How to run

Shell

pip install transformers torch huggingface_hub   # plus ffmpeg on your PATH to read audio files

Python

from huggingface_hub import snapshot_download
from transformers import pipeline

# Weights live in the safetensors/ subfolder of the repository.
path = snapshot_download("WindyWord/listen-windy-turbo", allow_patterns=["safetensors/*"])
asr = pipeline("automatic-speech-recognition", model=f"{path}/safetensors")
print(asr("audio.wav")["text"])

Tested: Pattern run on 2026-10-01 against WindyWord/listen-windy-nano with transformers 4.57.6 and 5.18.0 on CPU, on a 16 kHz mono WAV. Not run on every model individually.

Licence and attribution

Licence: MIT
Upstream: openai/whisper-large-v3-turbo (model card text)
Upstream licence: MIT
Attribution: Based on openai/whisper-large-v3-turbo (Whisper) by OpenAI. Licensed MIT.

Copy this into your NOTICE file (or equivalent) when you ship the model:

NOTICE

This product uses the model WindyWord/listen-windy-turbo
(https://huggingface.co/WindyWord/listen-windy-turbo), published by Windstorm Labs (https://windstormlabs.com).
Based on openai/whisper-large-v3-turbo (Whisper) by OpenAI. Licensed MIT.
Redistributed by Windstorm Labs in additional formats; the model card states no fine-tuning was applied.
Licensed under the MIT License: https://opensource.org/license/mit

This is a convenience, not legal advice. See Licensing.