Audio Classification
Transformers
TensorBoard
Safetensors
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use piecurus/distilhubert-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use piecurus/distilhubert-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="piecurus/distilhubert-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("piecurus/distilhubert-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("piecurus/distilhubert-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cf62180c99f6e4a2cc206a725a3d7b701fec8fe0333893c5e526a4c5fdc7bfc3
- Size of remote file:
- 94.8 MB
- SHA256:
- 1a8c4abea1a47c3779e88db4518190620738206a649853cc8fa7e8c990bae2bb
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