Audio Classification
Transformers
PyTorch
Safetensors
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use karanjakhar/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 karanjakhar/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="karanjakhar/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("karanjakhar/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("karanjakhar/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a17a2c9b531e6c7b1a551ba5d68d5316293f410b87453719270601b4f0106377
- Size of remote file:
- 345 MB
- SHA256:
- e21715d870792fdb019919fbb8af64eb4db6780e44ba59f044213304d397c83b
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