Instructions to use WindyWord/listen-windy-lingua-hi-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/listen-windy-lingua-hi-ct2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WindyWord/listen-windy-lingua-hi-ct2")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/listen-windy-lingua-hi-ct2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai STT β Hindi Lingua (CPU INT8 (CTranslate2))
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/listen-windy-lingua-hi-ct2
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: not yet measured by us. Imported from an upstream community fine-tune.
About this variant
This is the ct2-int8 deployment format of our Hindi Lingua STT model. Load it via the ct2-int8/ 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-ct2", subfolder="ct2-int8")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-hi-ct2", subfolder="ct2-int8")
Apps
The Windy Word apps are built on this model family.
Provenance & License
CTranslate2 INT8 conversion of WindyWord/listen-windy-lingua-hi, whose weights derive from Oriserve/Whisper-Hindi2Hinglish-Swift (community fine-tune by Oriserve). Lineage inferred: same port batch, INT8 size matches the safetensors build of this language. Licensed Apache-2.0 upstream; this redistribution is released under the same licence.
Model tree for WindyWord/listen-windy-lingua-hi-ct2
Base model
openai/whisper-base