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:
- 5ead00b2240342e36e4dae57603fc261fa08edc02bbffdaf2fe6086273bdca3e
- Size of remote file:
- 1.08 GB
- SHA256:
- 3a214837221e4530dbc1fe8d734f302af393eb30bd0ed046042ebf4baf70f6f2
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