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:
- b8dfe03dcef3fbf4675f8ae50854c42327df6c18320613d9b3ff15e34500000c
- Size of remote file:
- 378 MB
- SHA256:
- c42754d5b7a98edac645337f3010ac3ba9ce9303adb339366bf76ef89447a40d
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