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AnonymousCS
/
HateBERT-Twitter-toxicity

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use AnonymousCS/HateBERT-Twitter-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousCS/HateBERT-Twitter-toxicity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AnonymousCS/HateBERT-Twitter-toxicity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/HateBERT-Twitter-toxicity")
    model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/HateBERT-Twitter-toxicity")
  • Notebooks
  • Google Colab
  • Kaggle
HateBERT-Twitter-toxicity
Ctrl+K
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  • 2 contributors
History: 5 commits
AnonymousCS's picture
AnonymousCS
Update README.md
98594d6 verified over 1 year ago
  • runs
    End of training over 1 year ago
  • .gitattributes
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    initial commit over 1 year ago
  • README.md
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  • config.json
    749 Bytes
    Training in progress, epoch 1 over 1 year ago
  • model.safetensors
    438 MB
    xet
    End of training over 1 year ago
  • special_tokens_map.json
    125 Bytes
    Training in progress, epoch 1 over 1 year ago
  • tokenizer.json
    711 kB
    Training in progress, epoch 1 over 1 year ago
  • tokenizer_config.json
    1.26 kB
    Training in progress, epoch 1 over 1 year ago
  • training_args.bin
    5.18 kB
    xet
    Training in progress, epoch 1 over 1 year ago
  • vocab.txt
    232 kB
    Training in progress, epoch 1 over 1 year ago