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FlowRank
/
mailSort

Text Classification
Transformers
Safetensors
English
email
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")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("FlowRank/mailSort", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mailSort / model
269 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
enzofrnt's picture
enzofrnt
feat(training): pipeline minimal train/test + artefacts HF
8153a62 unverified about 2 months ago
  • config.json
    1.12 kB
    feat(training): pipeline minimal train/test + artefacts HF about 2 months ago
  • model.safetensors
    268 MB
    xet
    feat(training): pipeline minimal train/test + artefacts HF about 2 months ago
  • tokenizer.json
    711 kB
    feat(training): pipeline minimal train/test + artefacts HF about 2 months ago
  • tokenizer_config.json
    351 Bytes
    feat(training): pipeline minimal train/test + artefacts HF about 2 months ago
  • training_args.bin
    5.27 kB
    xet
    feat(training): pipeline minimal train/test + artefacts HF about 2 months ago