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:
- b5b7dba25c0272de00bc5b26d1bb91e21c201298200a3525fc2e00aa11bdcb09
- Size of remote file:
- 43.5 MB
- SHA256:
- c2085835d3f50733e2ff6e4b41ae8a2b8d8110461e18821b09a15c40c42d1cca
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