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:
- 77e8e24888512209a1e1a52dd4cb7a942c9bdf2e62272c30e74b11bfe25f5859
- Size of remote file:
- 38 MB
- SHA256:
- 8cf860309e2449e2bdc8be834cf838ab2565747ecc8c0ef914ef5975115e192b
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