Instructions to use WindstormLabs/listen-windy-lingua-hi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindstormLabs/listen-windy-lingua-hi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WindstormLabs/listen-windy-lingua-hi")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindstormLabs/listen-windy-lingua-hi", dtype="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai STT β Hindi Lingua (GPU (safetensors))
Transcribes Hindi speech (Indo-European > Indo-Iranian > Indo-Aryan).
Note: Outputs Hindi audio as Latin-script Hinglish, NOT Devanagari. FLEURS-Devanagari WER β100% is a script mismatch, not a quality failure. Useful for code-switched / chat / SMS contexts. For Devanagari output, use a separate model (not yet shipped).
Quality
- WER: unverified by WindyWord harness yet. Imported from upstream community fine-tune.
About this variant
This is the safetensors deployment format of our Hindi Lingua STT model. Load it via the safetensors/ subfolder.
Part of the WindyWord.ai STT fleet β 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-hi", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-hi", 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).