Instructions to use ahyar002/audio_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahyar002/audio_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ahyar002/audio_classification")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("ahyar002/audio_classification") model = AutoModelForAudioClassification.from_pretrained("ahyar002/audio_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4fd0c1a255978307c55efa1fe3e5c3533a5cdb95a30ee2595cc891e2cfcbc61
- Size of remote file:
- 4.09 kB
- SHA256:
- 09d01bf9edfc6c47618e901e372b97aade2842984939f2ba662a2999a8af4843
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