Instructions to use superb/hubert-large-superb-ks with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/hubert-large-superb-ks with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/hubert-large-superb-ks")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/hubert-large-superb-ks") model = AutoModelForAudioClassification.from_pretrained("superb/hubert-large-superb-ks") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7311afcc1994100127b06686e2664586461703954ff5aa8132eb70c567f10c08
- Size of remote file:
- 1.26 GB
- SHA256:
- c504591a9c6e209ce7d45d047a46d68e8de0ca498f187bf2d4cfc03b923df036
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