Instructions to use microsoft/wavlm-base-plus-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/wavlm-base-plus-sv with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("microsoft/wavlm-base-plus-sv") model = AutoModelForAudioXVector.from_pretrained("microsoft/wavlm-base-plus-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a43e188ea6506e6327525f4df9cfa09fb65cbfbb8c3ae9792150127a04f686c1
- Size of remote file:
- 405 MB
- SHA256:
- e906bce2fa42fb497a1d1a9ecf81548adb7e03b12a5644e32d2f42f0d6500fad
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