Instructions to use superb/hubert-base-superb-sid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/hubert-base-superb-sid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/hubert-base-superb-sid")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/hubert-base-superb-sid") model = AutoModelForAudioClassification.from_pretrained("superb/hubert-base-superb-sid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6380c701cfed434dae2f2e6e082f74949bab75af0986a0e594ee37c94740ccda
- Size of remote file:
- 380 MB
- SHA256:
- f1a415275de22c752c6a888b903f1388b4d2bac3cbe439a72b70e96b629aaa3f
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