Instructions to use microsoft/wavlm-base-plus-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/wavlm-base-plus-sd with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForAudioFrameClassification processor = AutoProcessor.from_pretrained("microsoft/wavlm-base-plus-sd") model = AutoModelForAudioFrameClassification.from_pretrained("microsoft/wavlm-base-plus-sd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be2839f05f711c202a4f86fcdec535e058e5439c7287a247d8e031d0541d3a02
- Size of remote file:
- 378 MB
- SHA256:
- 73bd24e09b230ee1491116066b3977dbdc3b44a803042cddd55ca47400c584b3
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