Instructions to use Sandiago21/hubert-large-ll60k-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sandiago21/hubert-large-ll60k-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Sandiago21/hubert-large-ll60k-finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Sandiago21/hubert-large-ll60k-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("Sandiago21/hubert-large-ll60k-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9da073445a4c7d573631bac1ac3b78d43210442660c97e04d46a84b36ef7162b
- Size of remote file:
- 1.26 GB
- SHA256:
- 9d60c44eea8b79479ef69d8222bf72919ed2bb964e43c45fd4ab5799e1af1d87
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