Instructions to use WindyWord/listen-windy-lingua-ca with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WindyWord/listen-windy-lingua-ca with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="WindyWord/listen-windy-lingua-ca")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("WindyWord/listen-windy-lingua-ca", device_map="auto") - Notebooks
- Google Colab
- Kaggle
WindyWord.ai STT โ Catalan Lingua (GPU (safetensors))
Part of the Windstorm Labs open model catalogue. Scores, licence and attribution for every model: https://windytranslate.com/models/listen-windy-lingua-ca
Transcribes Catalan speech (Indo-European > Italic > Romance).
Quality
- FLEURS WER: 26.9% (50-sample audit)
- CER: 0.09
- Band: ok
- Source: our 50-sample FLEURS screening (not a publication result)
About this variant
This is the safetensors deployment format of our Catalan 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-ca", subfolder="safetensors")
model = WhisperForConditionalGeneration.from_pretrained("WindyWord/listen-windy-lingua-ca", subfolder="safetensors")
Apps
The Windy Word apps are built on this model family.
Provenance & License
Weights derived from shields/whisper-medium-catalan (community fine-tune by shields; identified from this repository's commit history and config.json). Licensed Apache-2.0 upstream; this redistribution is released under the same licence.
Model tree for WindyWord/listen-windy-lingua-ca
Base model
shields/whisper-medium-catalan