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:
- fd54b74d1e3a7b2d0d3b7adea875df4e3b560864503105ddeeed8aef95a361e9
- Size of remote file:
- 378 MB
- SHA256:
- 69e7732f31a2014279ba7892925d0602a0fcc91fcbd5a33f27cba6410faf2dcf
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