Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Eval Results (legacy)
Instructions to use GFazzito/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 GFazzito/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="GFazzito/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("GFazzito/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("GFazzito/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dde885ce45b9a876cd9141d6314a63ee02eaeaa97314c87d526872f742b6922f
- Size of remote file:
- 345 MB
- SHA256:
- cee51cdb7ecec85f1189a76e5879cb1d827066dde9659d25552831b6fdae8202
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