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mms-lid-256-fra-dyu
Or4kool/mms-lid-256-fra-dyu
mms-lid-256-fra-dyu is a audio classification model from Or4kool. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
Spoken language identification for Côte d'Ivoire: classifies audio clips as french, dioula, or other. Fine-tuned from facebook/mms-lid-256.
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026
- SHA
- 02070f08
Base models
Model card
From the Hugging Face model README
Or4kool/mms-lid-256-fra-dyu
Spoken language identification for Côte d'Ivoire: classifies audio clips as french, dioula, or other. Fine-tuned from facebook/mms-lid-256.
Evaluation (held-out test split)
- fine-tuned clean test: accuracy 0.9979, macro-F1 0.9974
- fine-tuned telephony-simulated slice: macro-F1 0.9974
- zero-shot
facebook/mms-lid-256baseline (mapped to 3 classes): macro-F1 0.4459
| class | precision | recall | f1 | support |
|---|---|---|---|---|
| french | 0.9979 | 0.9986 | 0.9983 | 1429 |
| dioula | 1.0 | 0.9988 | 0.9994 | 840 |
| other | 0.9944 | 0.9944 | 0.9944 | 540 |
Usage
from transformers import pipeline
classifier = pipeline("audio-classification", model="Or4kool/mms-lid-256-fra-dyu")
print(classifier("clip.wav"))
Trained on public datasets only (Common Voice Dioula, GO AI Corp Dioula, FarmerlineML Dyula, African-accented French, FLEURS). Bambara was excluded from training; the other class approximates non-target languages with other African languages plus English.
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- Languages
- fr, dyu
- Created
- Jul 10, 2026
- Updated
- Jul 10, 2026