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:
- 13d2990f9c900b251544771bf80d4d94ad1d889f21d070ea2145a22a24cc8ff4
- Size of remote file:
- 81.8 MB
- SHA256:
- a4d4a0768075e13cfd7e19df3ae2dbc4a68d37d36a7dad45e8410c9a34f8c87e
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