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:
- 38e1e01c9680649a8d2769c884da25ae1565c9f6f2f33eb7531e43ba8ffd6671
- Size of remote file:
- 37.9 MB
- SHA256:
- 7e6ab77041942572f239b5b602f8aaa1c3ed29d73e3d8f20abea03a773541089
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