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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 673ddb4e47222c4e7bd9307943218cb89f3efa083a2aa01a06e83c3efa2afc37
- Size of remote file:
- 378 MB
- SHA256:
- 65e6130fed27a37ba7141517c92282cf12f5b700dbc0eece2502c84ed6ecedb1
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