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:
- a6e0a118ac67ec2cefa26d2c0ae5a3d89c385cbfcb1060510da4b6b8e99be5b7
- Size of remote file:
- 4.03 kB
- SHA256:
- 372870b26eed8771e7cdb0005584e2af3d7c15ec1de327c3afcca97042b74122
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