Instructions to use superb/hubert-large-superb-sid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use superb/hubert-large-superb-sid with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="superb/hubert-large-superb-sid")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("superb/hubert-large-superb-sid") model = AutoModelForAudioClassification.from_pretrained("superb/hubert-large-superb-sid") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a4a4312be9a50da0ea46b3886894c3ce9fb57709a553ff24cef030ecb224fcb0
- Size of remote file:
- 1.26 GB
- SHA256:
- a4f52f9a7ef40bcc9f5c699bbe4de2682dae9f780867d5b5d42eb66d0ffd6feb
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