Audio Classification
Transformers
PyTorch
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use Stopwolf/distilhubert-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stopwolf/distilhubert-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Stopwolf/distilhubert-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Stopwolf/distilhubert-gtzan") model = AutoModelForAudioClassification.from_pretrained("Stopwolf/distilhubert-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91a5b170647dbb9c65ca8ab2ba34856f2194b280ee84368707a875455a74e58e
- Size of remote file:
- 94.8 MB
- SHA256:
- a0a99057bd8e4d1da6a34331c7efb8fd238343555ed0791cc378d92099e7e499
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