Instructions to use ditwoo/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ditwoo/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ditwoo/distilhubert-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ditwoo/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("ditwoo/distilhubert-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c65dbec118307150722c9163bd5a852828c1460fa994e31e2a88413777a8312a
- Size of remote file:
- 94.8 MB
- SHA256:
- e86e74a44ef89260a665d7301eb71b1118e8cff83eb0c6b390a02692e696f84e
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