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:
- 5a4b65b05933d70ce9d5aa6265eb128fa5eba38f6fee40836fdedc4d2fde42ad
- Size of remote file:
- 1.62 GB
- SHA256:
- 1fc70f774d38eb169993ac391eea357ef47c88757ef72ee5943879b7e8e2bc69
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