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JBJoyce
/
DENTAL_CLICK_classifier

Audio Classification
Transformers
PyTorch
Safetensors
English
wav2vec2
Voice
Model card Files Files and versions
xet
Community
1

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")
  • Notebooks
  • Google Colab
  • Kaggle
DENTAL_CLICK_classifier
757 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 7 commits
JBJoyce's picture
JBJoyce
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
c59e86c almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.04 kB
    Update README.md about 3 years ago
  • config.json
    2.48 kB
    Add model and feature extractor about 3 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#1) almost 3 years ago
  • preprocessor_config.json
    215 Bytes
    Add model and feature extractor about 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    378 MB
    xet
    Add model and feature extractor about 3 years ago