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:
- 1b54ae531cf91200ab5a2f6f94511a9be03912de41e19c11b711f39f75c62a60
- Size of remote file:
- 3.96 kB
- SHA256:
- e74e456ebf333736ee871f9632d27fdfb6b89dcd0e6c575d87bd3c2e4165f208
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