Instructions to use J001/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use J001/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="J001/distilhubert-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("J001/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("J001/distilhubert-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 493f6c8e80d391f9fefc8a2a5bcf9d9c92a9acdf6d5ae7dc6e2d1a8e71ee46e5
- Size of remote file:
- 4.73 kB
- SHA256:
- 4a2548fd519df298c70adaa08fc59d58087c57c7aaa6a35683f329404754d45a
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