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:
- 5565710a4894ffe473995adae27469cadd5b517b4512d560eaa808f7f683917a
- Size of remote file:
- 4.03 kB
- SHA256:
- 8f696e84b137e75c424b55638b043d870e600cf8e29158287202a4030c065da9
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