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WindstormLabs/listen-windy-pro-engine
listen-windy-pro-engine 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 apache-2.0.
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/listen-windy-pro-engine
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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-pro-engine
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-pro-engine", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindstormLabs/listen-windy-pro-engine", 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 openai/whisper-large-v3 (OpenAI Whisper), licensed Apache-2.0. 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.