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
distilhubert-finetuned-gtzan / runs /Nov08_10-57-54_cb859e27717f /events.out.tfevents.1731063489.cb859e27717f.197.0
- Xet hash:
- 6d3c3d206eb6a30d01f2361e5183633e2b538b27ade4a9f306f803dcc589cb98
- Size of remote file:
- 16.2 kB
- SHA256:
- ba9b5c68f0cd24c224c784cb09f6afad3b60f79a1d80c706f3ecaa8c58dece50
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