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datamatters24
/
attuned-resonance-intake

Text Classification
Transformers
English
multi-task-learning
call-center
research-only
Model card Files Files and versions
xet
Community

Instructions to use datamatters24/attuned-resonance-intake with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use datamatters24/attuned-resonance-intake with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="datamatters24/attuned-resonance-intake")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("datamatters24/attuned-resonance-intake", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
attuned-resonance-intake
497 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 8 commits
datamatters24's picture
datamatters24
rename: update card cross-refs to attuned-resonance-* slugs
36cf80f verified 18 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    9.63 kB
    rename: update card cross-refs to attuned-resonance-* slugs 18 days ago
  • model.pt

    Detected Pickle imports (3)

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

    What is a pickle import?

    497 MB
    xet
    retrain: B2 6-head intake on 2x H100 SXM (90k transcripts, sqrt-tempered action weights) 30 days ago