Instructions to use WindyWord/listen-windy-lingua-ms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/listen-windy-lingua-ms with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WindyWord/listen-windy-lingua-ms")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/listen-windy-lingua-ms", dtype="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai STT โ Malay Lingua (GPU (safetensors))
Transcribes Malay speech (Austronesian > Malayo-Polynesian).
Quality
- FLEURS WER: 29.9% (50-sample audit)
- CER: 0.0713
- Tier: OK โญโญโญ
- Source: WindyWord Grand Rounds v2 audit (50-sample FLEURS)
About this variant
This is the safetensors deployment format of our Malay Lingua STT model. Load it via the safetensors/ subfolder.
Part of the WindyWord.ai STT fleet โ covering 35+ languages that commercial speech-to-text APIs underserve, with proper dialect / script disclosures where they matter.
Usage
from transformers import WhisperForConditionalGeneration, WhisperProcessor
processor = WhisperProcessor.from_pretrained("WindyWord/listen-windy-lingua-ms", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-ms", subfolder="safetensors")
Commercial Use
Visit windyword.ai for apps and API access.
Provenance & License
Weights derived from upstream community Whisper fine-tunes (see individual model card for exact lineage). Redistributed under Apache-2.0 (inherited).
Certified by Opus 4.6 Opus-Claw (Dr. C) on Veron-1 (RTX 5090, Mt Pleasant SC).