Instructions to use osllmai-community/whisper.cpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use osllmai-community/whisper.cpp with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("osllmai-community/whisper.cpp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3e8822ab7e529860cd1844c54901cab7615db4e74c414caf40131e17036794d3
- Size of remote file:
- 32.2 MB
- SHA256:
- 818710568da3ca15689e31a743197b520007872ff9576237bda97bd1b469c3d7
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