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:
- fabc11e051d20a50b86cda84c990994e7c3f81cc7ca42e006b375b309148565c
- Size of remote file:
- 349 MB
- SHA256:
- ccf4439733a49dd9e5b1111c67996b55ddcd140743caa7c7b864513514804c6d
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