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Deeptanshuu
/
mill-screen

Text Classification
Transformers
PyTorch
toxic_comment_xlmr
feature-extraction
toxicity
content-moderation
multilingual
multi-label
xlm-roberta
custom_code
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Deeptanshuu/mill-screen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Deeptanshuu/mill-screen with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Deeptanshuu/mill-screen", trust_remote_code=True)
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Deeptanshuu/mill-screen", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mill-screen / images
516 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Deeptanshuu's picture
Deeptanshuu
Shorter model card with baseline comparison and speed charts
9bec9b1 verified 29 days ago
  • baseline_auc.png
    79.8 kB
    Shorter model card with baseline comparison and speed charts 29 days ago
  • baseline_speed.png
    72.8 kB
    Shorter model card with baseline comparison and speed charts 29 days ago
  • f1_gains_by_class.png
    67.8 kB
    Publish multilingual toxicity classifier: weights, card, thresholds, config about 2 months ago
  • per_language_performance.png
    71.3 kB
    Shorter model card with baseline comparison and speed charts 29 days ago
  • pr_curves.png
    142 kB
    xet
    Publish multilingual toxicity classifier: weights, card, thresholds, config about 2 months ago
  • threat_probability_shift.png
    82.3 kB
    Publish multilingual toxicity classifier: weights, card, thresholds, config about 2 months ago