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yangwang825
/
mert-base

Audio Classification
Transformers
PyTorch
mert_model
feature-extraction
audio
music
custom_code
Model card Files Files and versions
xet
Community

Instructions to use yangwang825/mert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use yangwang825/mert-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="yangwang825/mert-base", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("yangwang825/mert-base", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mert-base
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  • 1 contributor
History: 20 commits
yangwang825's picture
yangwang825
Update modeling_mert.py
40d0bce over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.8 kB
    Update README.md almost 3 years ago
  • config.json
    1.91 kB
    Update config.json almost 3 years ago
  • configuration_mert.py
    5.13 kB
    Update configuration_mert.py over 2 years ago
  • modeling_mert.py
    25.2 kB
    Update modeling_mert.py over 2 years ago
  • preprocessor_config.json
    212 Bytes
    Upload feature extractor almost 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    378 MB
    xet
    Upload MERTForSequenceClassification almost 3 years ago