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:
- 968fd6b666c286f956ae34e5365d44ced7413c287a0b54b4b287d758babf96c7
- Size of remote file:
- 43.6 MB
- SHA256:
- 5bc2b3860aa151a4c6e7bb095e1fcce7cf12c7b020ca08dcec0c6d018bb7dd94
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