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nguyenvulebinh
/
heyarmar

Audio Classification
Transformers
PyTorch
wavlm
Model card Files Files and versions
xet
Community
1

Instructions to use nguyenvulebinh/heyarmar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nguyenvulebinh/heyarmar with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="nguyenvulebinh/heyarmar")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForAudioClassification
    
    processor = AutoProcessor.from_pretrained("nguyenvulebinh/heyarmar")
    model = AutoModelForAudioClassification.from_pretrained("nguyenvulebinh/heyarmar")
  • Notebooks
  • Google Colab
  • Kaggle
heyarmar
378 MB
Ctrl+K
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  • 1 contributor
History: 18 commits
nguyenvulebinh's picture
nguyenvulebinh
Create README.md
7a8d5af about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    5.15 kB
    Create README.md about 3 years ago
  • config.json
    2.48 kB
    Upload WavLMForSequenceClassification about 3 years ago
  • preprocessor_config.json
    214 Bytes
    Upload 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
    Upload WavLMForSequenceClassification about 3 years ago