Audio Classification
Transformers
PyTorch
TensorBoard
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use ashish-soni08/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashish-soni08/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ashish-soni08/distilhubert-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ashish-soni08/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("ashish-soni08/distilhubert-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7cf8e189cc06cc608871865d9c2b5fe7157cc6ecd4bdc296b12807a5e304d587
- Size of remote file:
- 94.8 MB
- SHA256:
- 654374a21dd9e86ac10cd1c003707ecc47c9f10d34bc065131a21df15f394a65
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