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:
- 29b075b9456129905ab2422fa1a4fff87075e3d8fb12eff13f588044d4ac655c
- Size of remote file:
- 3.58 kB
- SHA256:
- a33ea22e0e653f9889b9ba10bd697e63d15096d0c3a08c2c2b73d9428e226f80
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