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

Usage

python

from transformers import WhisperForConditionalGeneration, WhisperProcessor
processor = WhisperProcessor.from_pretrained("WindyWord/listen-windy-lite", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lite", subfolder="safetensors")

For CPU inference via CTranslate2:

python

import ctranslate2
# After downloading the ct2-int8 subfolder:
model = ctranslate2.models.Whisper("path/to/ct2-int8/")

Commercial Use

Part of the WindyWord.ai STT fleet. Visit windyword.ai for real-time voice-to-text + translation apps and API access.

Provenance & License

Weights derived from openai/whisper-base under Apache-2.0 (inherited). Voice tiers are direct redistributions of the upstream community Whisper / distil-whisper variants; no LoRA fine-tuning has been applied to these voice models.

Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090, Mt Pleasant SC).

WindstormLabs/listen-windy-lite

WindyWord.ai STT — Windy Lite

Profile

Variants in this repo

Usage

Commercial Use

Provenance & License

WindstormLabs/
listen-windy-lite