Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("lightborn3/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 315db9a46c32f5d710c389e99cedf3f55ffc365a13afbb522e1611994adb8541
- Size of remote file:
- 345 MB
- SHA256:
- a409367826778238024fb7a730d81fc2a1b01f20476a5a23cbd64ed46c8c5fba
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