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Vrandan
/
Comment-Moderation

Text Classification
Transformers
Safetensors
English
distilbert
content-moderation
comment-moderation
text-moderation
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use Vrandan/Comment-Moderation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Vrandan/Comment-Moderation with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Vrandan/Comment-Moderation")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Vrandan/Comment-Moderation")
    model = AutoModelForSequenceClassification.from_pretrained("Vrandan/Comment-Moderation")
  • Notebooks
  • Google Colab
  • Kaggle
Comment-Moderation
269 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 11 commits
Vrandan's picture
Vrandan
Update README.md
6ea213b verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • Comment Moderation-OpenRAIL.md
    14 kB
    Upload Comment Moderation-OpenRAIL.md over 1 year ago
  • README.md
    9.58 kB
    Update README.md 3 months ago
  • config.json
    969 Bytes
    Best accuracy model with score: 0.9544 over 1 year ago
  • model.safetensors
    268 MB
    xet
    Best accuracy model with score: 0.9544 over 1 year ago
  • special_tokens_map.json
    132 Bytes
    Tokenizer for best accuracy model over 1 year ago
  • tokenizer.json
    711 kB
    Tokenizer for best accuracy model over 1 year ago
  • tokenizer_config.json
    1.28 kB
    Tokenizer for best accuracy model over 1 year ago
  • vocab.txt
    232 kB
    Tokenizer for best accuracy model over 1 year ago