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:
- 518970a29bedb265f23ac48d486ddbc63bedffd90967b10140ae5ac61243acf3
- Size of remote file:
- 77.7 MB
- SHA256:
- be07e048e1e599ad46341c8d2a135645097a538221678b7acdd1b1919c6e1b21
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