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owlgebra-ai
/
babycry

Audio Classification
Transformers
Joblib
Safetensors
English
babycry_valence
feature-extraction
audio
valence
infant
baby
frozen-encoder
ensemble
custom_code
Model card Files Files and versions
xet
Community

Instructions to use owlgebra-ai/babycry with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use owlgebra-ai/babycry with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="owlgebra-ai/babycry", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("owlgebra-ai/babycry", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
babycry
27.8 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
pmonad's picture
pmonad
Simplify card to the default CLAP+logreg config
9ef32cc verified 25 days ago
  • heads
    Ship simple deterministic CLAP probe as default; add CLAP+RF (joblib); demote stack/mlp 25 days ago
  • .gitattributes
    1.52 kB
    initial commit 25 days ago
  • README.md
    6.2 kB
    Simplify card to the default CLAP+logreg config 25 days ago
  • config.json
    1.04 kB
    Ship simple deterministic CLAP probe as default; add CLAP+RF (joblib); demote stack/mlp 25 days ago
  • configuration_babycry.py
    2.95 kB
    Ship simple deterministic CLAP probe as default; add CLAP+RF (joblib); demote stack/mlp 25 days ago
  • model.safetensors
    2.22 MB
    xet
    babycry valence ensemble: 3 frozen encoders + stack/logreg/mlp heads (trust_remote_code) 25 days ago
  • modeling_babycry.py
    13.7 kB
    Ship simple deterministic CLAP probe as default; add CLAP+RF (joblib); demote stack/mlp 25 days ago