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:
- 32b578ab5cbc39031ca85dac674cf364e9396a0c12b62d6fdd9c21c7df269400
- Size of remote file:
- 1.08 GB
- SHA256:
- d75795ecff3f83b5faa89d1900604ad8c780abd5739fae406de19f23ecd98ad1
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