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:
- c6d6d3dcebc5e0074175386e17eba305fc5cc7d3d5dff3ecfd11e8f2bd4222d7
- Size of remote file:
- 3.09 GB
- SHA256:
- 9a423fe4d40c82774b6af34115b8b935f34152246eb19e80e376071d3f999487
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