Instructions to use MheniDevs/Kinyarwanda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MheniDevs/Kinyarwanda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MheniDevs/Kinyarwanda")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MheniDevs/Kinyarwanda") model = AutoModelForCTC.from_pretrained("MheniDevs/Kinyarwanda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 72e2b3add890b6112827e9e0d1d3c3679cad1afcd089c2c78227c2dc6b9f322d
- Size of remote file:
- 27 MB
- SHA256:
- aaecc5e62e869411a2c9e7bbb912a231168d37e014752d21f70713a4b58d1e7f
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