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:
- 9869541c32f8af842e2662dc10c6ee4f15baedca87a0be39d251fd8c05ba8b1a
- Size of remote file:
- 3.58 kB
- SHA256:
- 7427cb101f4ec93fd4e206b72fefcc8f5fdc63f39cdbbd961f5c56f35ebec2a9
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