Instructions to use Falah/Audio_Classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/Audio_Classification_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Falah/Audio_Classification_model")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Falah/Audio_Classification_model") model = AutoModelForAudioClassification.from_pretrained("Falah/Audio_Classification_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cfcbe87f845f35bda71fcc9635e77012820cde1a0553179d26ed2736fbc12322
- Size of remote file:
- 378 MB
- SHA256:
- be1d20e5402d30d57d06b2f3858598dcebd78acd7fea58558f36f67e3f7703fb
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