Instructions to use CXDuncan/whisper-small-ml-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CXDuncan/whisper-small-ml-ct2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CXDuncan/whisper-small-ml-ct2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ecf25448183073e4a9f74b8327782181bc70076769c1a9e82724971fa77ee7f1
- Size of remote file:
- 484 MB
- SHA256:
- 41764483c50b217cbead505e0a67c27f12cf59a057b7cdfbc9518167d0f26219
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