Instructions to use hswol/0919_ko_audiocls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hswol/0919_ko_audiocls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="hswol/0919_ko_audiocls")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("hswol/0919_ko_audiocls") model = AutoModelForAudioClassification.from_pretrained("hswol/0919_ko_audiocls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 85679e16f7e25cce8de30894b22e9127542457a7481453efa0c719ae47f9c619
- Size of remote file:
- 378 MB
- SHA256:
- 58b839fcedfc65500e651942af638712b7743e8b5a74c67314ef20bae54c0be4
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