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WindstormLabs/listen-windy-edge
listen-windy-edge is a automatic speech recognition model from WindstormLabs. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/listen-windy-edge
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Updated Oct 1, 2026
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From the Hugging Face model README
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/listen-windy-edge
Multilingual speech-to-text engine. Transcribes audio in 100+ languages, with English as the primary trained domain.
| Subfolder | Format | Use case |
|---|---|---|
safetensors/ | PyTorch safetensors (FP32) | GPU inference (highest quality) |
ct2-int8/ | CTranslate2 INT8 | CPU inference (~25% size, 2-4× faster) |
onnx/ | ONNX FP32 | Cross-platform deployment |
onnx-int8/ | ONNX INT8 | Edge / mobile / WebAssembly |
from transformers import WhisperForConditionalGeneration, WhisperProcessor
processor = WhisperProcessor.from_pretrained("WindstormLabs/listen-windy-edge", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindstormLabs/listen-windy-edge", subfolder="safetensors")
For CPU inference via CTranslate2:
import ctranslate2
# After downloading the ct2-int8 subfolder:
model = ctranslate2.models.Whisper("path/to/ct2-int8/")
The Windy Word apps are built on this model family.
Weights derived from distil-whisper/distil-large-v3 (Distil-Whisper, Hugging Face), licensed MIT. Windy variants are released under the same licence. Voice tiers are direct redistributions of the upstream community Whisper / distil-whisper variants; no LoRA fine-tuning has been applied to these voice models.