Instructions to use OmBenz/finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OmBenz/finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="OmBenz/finetuned-gtzan")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("OmBenz/finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("OmBenz/finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d7be929b253c7f6077205068fe55ab3c6a7afb16b603f358964c065ac0553b34
- Size of remote file:
- 378 MB
- SHA256:
- 7d0604fa74e27d45c915dd567826beb28d56752e6bf73707478ef4b4ad5c1b39
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