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:
- ff7d10f8526045d48149699b43aeaa014e4b337239bc5a35251116fc179aabcf
- Size of remote file:
- 148 MB
- SHA256:
- a03779c86df3323075f5e796cb2ce5029f00ec8869eee3fdfb897afe36c6d002
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