Instructions to use JBJoyce/DENTAL_CLICK_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JBJoyce/DENTAL_CLICK_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="JBJoyce/DENTAL_CLICK_classifier")# Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("JBJoyce/DENTAL_CLICK_classifier") model = AutoModelForAudioClassification.from_pretrained("JBJoyce/DENTAL_CLICK_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 625d4f06cc26ecfd629482be142d6c8bebd40c82b8eb236d31ed1fa76b1351ed
- Size of remote file:
- 378 MB
- SHA256:
- 03b8fd62363478e018b8033d2487489ea087ce6d6ba9a03e4342b40d152cc073
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