Audio Classification
Transformers
PyTorch
TensorBoard
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use CordwainerSmith/distilhubert-finetuned-gtzan-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CordwainerSmith/distilhubert-finetuned-gtzan-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="CordwainerSmith/distilhubert-finetuned-gtzan-v3")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("CordwainerSmith/distilhubert-finetuned-gtzan-v3") model = AutoModelForAudioClassification.from_pretrained("CordwainerSmith/distilhubert-finetuned-gtzan-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
3f112b8
1
Parent(s): 9d3c93d
End of training
Browse files
runs/Jul25_21-37-40_8c04156095ce/events.out.tfevents.1690321073.8c04156095ce.2634.1
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