Instructions to use cerkut/colab-tuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cerkut/colab-tuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="cerkut/colab-tuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("cerkut/colab-tuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("cerkut/colab-tuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a9269d2f1e056dd2a43e811bdd5940269490c5c74ff3801489f4367f5ca9ba70
- Size of remote file:
- 4.73 kB
- SHA256:
- c85e1fb8d1fbc9a09968d61a6b7ec0c0f22602716877cf3de3b8a66b54cb69db
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