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ntua-slp
/
CultureMERT-95M

Audio Classification
Transformers
Safetensors
mert_model
feature-extraction
audio
music
custom_code
Model card Files Files and versions
xet
Community
1

Instructions to use ntua-slp/CultureMERT-95M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ntua-slp/CultureMERT-95M with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="ntua-slp/CultureMERT-95M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ntua-slp/CultureMERT-95M", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CultureMERT-95M
378 MB
Ctrl+K
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  • 1 contributor
History: 83 commits
akanatas's picture
akanatas
Update README.md
d9aa6fb verified 5 months ago
  • .gitattributes
    1.63 kB
    Add method figure about 1 year ago
  • README.md
    8.88 kB
    Update README.md 5 months ago
  • config.json
    1.82 kB
    Update config.json about 1 year ago
  • configuration_MERT.py
    5.06 kB
    Update configuration_MERT.py about 1 year ago
  • method_figure.png
    222 kB
    xet
    Add method figure about 1 year ago
  • model.safetensors
    378 MB
    xet
    Add model weights about 1 year ago
  • modeling_MERT.py
    17.9 kB
    Update modeling_MERT.py about 1 year ago
  • preprocessor_config.json
    212 Bytes
    Add preprocessor_config.json about 1 year ago