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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (0107f08e0c0bcb83c613b4c94fc9771a4be4bb0d) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>c59e86c
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