Automatic Speech Recognition
Transformers
PyTorch
Kinyarwanda
whisper
STT
fine-tune-kinyarwanda
kinyarwanda
Instructions to use mbazaNLP/Whisper-Small-Kinyarwanda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mbazaNLP/Whisper-Small-Kinyarwanda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mbazaNLP/Whisper-Small-Kinyarwanda")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda") model = AutoModelForSpeechSeq2Seq.from_pretrained("mbazaNLP/Whisper-Small-Kinyarwanda") - Notebooks
- Google Colab
- Kaggle
Update model card: Intended Use, Limitations, code example, BibTeX, licence/email/description fixes
#4
by rdelyon - opened
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