Audio Classification
Transformers
PyTorch
TensorBoard
audio-spectrogram-transformer
Generated from Trainer
Instructions to use kinkpunk/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 kinkpunk/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="kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan") model = AutoModelForAudioClassification.from_pretrained("kinkpunk/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bc6462876c21af60446f91f178cf2aaad606ffd6639903751f8e55d9ed6122c
- Size of remote file:
- 345 MB
- SHA256:
- 49e26f7895b658d275f797213814976d3674526094c0f21fd232cbe332e5d87c
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