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ntua-slp
/
CultureMERT-TA-95M

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

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

  • Libraries
  • Transformers

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

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="ntua-slp/CultureMERT-TA-95M", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("ntua-slp/CultureMERT-TA-95M", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CultureMERT-TA-95M
378 MB
Ctrl+K
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  • 1 contributor
History: 37 commits
akanatas's picture
akanatas
Update README.md
e5c9ab7 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    7.03 kB
    Update README.md 3 months ago
  • config.json
    1.83 kB
    Update config.json 11 months ago
  • configuration_MERT.py
    5.06 kB
    Add configuration_MERT.py 11 months ago
  • model.safetensors
    378 MB
    xet
    Add model weights 11 months ago
  • modeling_MERT.py
    17.9 kB
    Update modeling_MERT.py 11 months ago
  • preprocessor_config.json
    212 Bytes
    Add preprocessor_config.json 11 months ago