Instructions to use microsoft/wavlm-base-sv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/wavlm-base-sv with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioXVector processor = AutoProcessor.from_pretrained("microsoft/wavlm-base-sv") model = AutoModelForAudioXVector.from_pretrained("microsoft/wavlm-base-sv") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d9509c908b9a72f196ab566791d917be67e6e4c8b425a412da01e130a04d8b5
- Size of remote file:
- 405 MB
- SHA256:
- 3cfaca246d4220a3ef517b87f0629b95efc2718aee36cff5feef6a9ae2809517
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