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FlowRank
/
mailSort

Text Classification
Transformers
Safetensors
English
email
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use FlowRank/mailSort with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use FlowRank/mailSort with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="FlowRank/mailSort")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("FlowRank/mailSort", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mailSort
269 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 6 commits
enzofrnt's picture
enzofrnt
HilarionLefuneste's picture
HilarionLefuneste
Cursor
feat: charge labeled_emails@main par défaut et finalise model card v2
36a680b 4 months ago
  • model
    feat(model): publie le modèle v2 (20 labels, 96% test acc) 4 months ago
  • src
    feat: charge labeled_emails@main par défaut et finalise model card v2 4 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • .gitignore
    175 Bytes
    feat(training): support dataset revision for enrichment branch 4 months ago
  • .python-version
    5 Bytes
    feat(training): pipeline minimal train/test + artefacts HF 6 months ago
  • README.md
    2.93 kB
    feat: charge labeled_emails@main par défaut et finalise model card v2 4 months ago
  • main.py
    126 Bytes
    feat(training): pipeline minimal train/test + artefacts HF 6 months ago
  • pyproject.toml
    464 Bytes
    feat(training): pipeline minimal train/test + artefacts HF 6 months ago
  • uv.lock
    443 kB
    feat(training): pipeline minimal train/test + artefacts HF 6 months ago