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WindyWord/listen-windy-lingua-ml
listen-windy-lingua-ml is a automatic speech recognition model from WindyWord. 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-lingua-ml
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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-lingua-ml
Transcribes Malayalam speech (Dravidian > Southern Dravidian).
Note: Quality ceiling: audited at 73.3% WER (community Malayalam Whisper space is thin — best alternative on HuggingFace audited at 76.5%, ~1.5% worse). Source:
vrclc/Whisper-small-Malayalam. For high-stakes Malayalam transcription consideropenai/whisper-large-v3multilingual.
This is the safetensors deployment format of our Malayalam Lingua STT model. Load it via the safetensors/ subfolder.
Part of the WindyWord.ai STT fleet — covering 35+ languages that commercial speech-to-text APIs underserve, with proper dialect / script disclosures where they matter.
from transformers import WhisperForConditionalGeneration, WhisperProcessor
processor = WhisperProcessor.from_pretrained("WindyWord/listen-windy-lingua-ml", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-ml", subfolder="safetensors")
The Windy Word apps are built on this model family.
Weights derived from vrclc/Whisper-small-Malayalam (community fine-tune by vrclc; identified from this repository's commit history and config.json). Licensed Apache-2.0 upstream; this redistribution is released under the same licence.