Instructions to use abletobetable/spec_soul_ast_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/spec_soul_ast_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="abletobetable/spec_soul_ast_aug")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("abletobetable/spec_soul_ast_aug") model = AutoModelForAudioClassification.from_pretrained("abletobetable/spec_soul_ast_aug") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0d5f4dffe00c82f29e4ec9f812eb43d681c3e4efec362e0c6aaa01f3bd1fc6f
- Size of remote file:
- 3.58 kB
- SHA256:
- 228403db0d84d4bb8a54b1e41d7d13df513837db8312ac0d36e1ce88e662c599
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