Instructions to use abletobetable/spec_soul_ast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abletobetable/spec_soul_ast with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="abletobetable/spec_soul_ast")# Load model directly from transformers import AutoFeatureExtractor, AutoModelForAudioClassification extractor = AutoFeatureExtractor.from_pretrained("abletobetable/spec_soul_ast") model = AutoModelForAudioClassification.from_pretrained("abletobetable/spec_soul_ast", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd9aea54e05c72ff346cb48329be94d92f0d91d29ff9158f6773f39813b9647
- Size of remote file:
- 345 MB
- SHA256:
- 0271909e7b94ee33e55d339bbe2ad6ef563c49403fd61c2a6686ff37a2c2ea29
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