Instructions to use phi0108/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phi0108/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="phi0108/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("phi0108/audio_classification") model = AutoModelForAudioClassification.from_pretrained("phi0108/audio_classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 90ea3d737bca6646767014f79fc783fd279be6334f556e0779c91d0cc772ddb8
- Size of remote file:
- 378 MB
- SHA256:
- 09f0a2e68e48c5016ca5cc81a33fdcd1625d50762ae7a5da61f89acbeeeb3ea3
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