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:
- 0d686a2a6a22b02da2ef3101d4c86e68461363a623c58f27f81b1b2d36b42317
- Size of remote file:
- 77.7 MB
- SHA256:
- 921e4cf8686fdd993dcd081a5da5b6c365bfde1162e72b08d75ac75289920b1f
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