Instructions to use goaicorp/dyu-asr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use goaicorp/dyu-asr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="goaicorp/dyu-asr")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("goaicorp/dyu-asr") model = AutoModelForSpeechSeq2Seq.from_pretrained("goaicorp/dyu-asr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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dyu-asr is shared under CC BY-SA 4.0: it was trained on Koumankan4Dyula by UVCI and Data354. Please read the card, its terms and licenses before requesting access, and make sure you understand them.
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dyu-asr
GO AI Corp's product endpoint for Dioula speech recognition. The repo name stays fixed; the model behind it can change.
| Serves | goaicorp/dyu-whisper-small: same weights, checked by file hash in November 2026 |
| Published | May 2026 |
Training data, scores and limits are those of dyu-whisper-small. This endpoint will be pointed to the best model once all models are re-scored on clean test sets; each change will be listed under Versions.
Résumé en français. Point d'accès « produit » de GO AI Corp pour la reconnaissance de la parole en dioula : le nom du dépôt reste fixe, le modèle servi peut changer. Il sert aujourd'hui
dyu-whisper-small(mêmes poids, vérifiés par empreinte des fichiers en novembre 2026) ; données, scores et limites sont ceux de ce modèle. Il sera dirigé vers le meilleur modèle quand tous les modèles auront été réévalués sur des jeux de test propres ; chaque changement sera noté sous Versions. Publié en mai 2026. Licence CC BY-SA 4.0, comme ses données d'entraînement : citez UVCI et Data354 (Koumankan4Dyula) et partagez vos adaptations sous la même licence. Accès sur demande.
Quick start
from transformers import pipeline
asr = pipeline("automatic-speech-recognition", model="goaicorp/dyu-asr")
print(asr("audio.wav")["text"]) # 16 kHz mono works best
Versions
- May 2026: created with the weights of dyu-whisper-small.
License
CC BY-SA 4.0, because it was trained on CC BY-SA data (Koumankan4Dyula, UVCI and Data354). Credit them and share adaptations under the same license.
Developed and maintained by
- Wendyellé A. Alban NYANTUDRE: nyantudre@gmail.com
- Aristide BANDAOGO: aristide@goaicorporation.org
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