Instructions to use Erog0291/stew-yanga with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Erog0291/stew-yanga with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Erog0291/stew-yanga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Stew Yanga v0.1.1 - Nigerian Multilingual Speech Intelligence
Stew Yanga is Nigeria's unified speech model: it hears Igbo, Yoruba, Hausa, Pidgin and Naija English. v0.1.1 ears trained on full FLEURS Nigerian data with noise robustness.
Download the model
pip install -U huggingface_hub
huggingface-cli download Erog0291/stew-audio-0.1-asr-ig
huggingface-cli download Erog0291/stew-audio-0.1-asr-yo
huggingface-cli download Erog0291/stew-audio-0.1-asr-ha
Use it (ears)
from stew_yanga import StewYanga
sy = StewYanga()
print(sy.transcribe("my_clip.wav", "ig")) # igbo, yoruba, hausa
Voice (TTS)
Natural Nigerian voices via the YarnGPT voice layer - recipe and samples on the umbrella repo: https://huggingface.co/Erog0291/stew-audio-0.1
Benchmarks (WER, lower is better)
Igbo 53.5 | Yoruba 61.0 | Hausa 38.7 (vs generic baseline 193.8 / 100.4 / 127.2)
Test live: https://huggingface.co/spaces/Erog0291/stew-audio-0.1
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