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AnonymousCS
/
bert-base-uncased-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/bert-base-uncased-Twitter-toxicity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use AnonymousCS/bert-base-uncased-Twitter-toxicity with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="AnonymousCS/bert-base-uncased-Twitter-toxicity")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/bert-base-uncased-Twitter-toxicity")
    model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/bert-base-uncased-Twitter-toxicity")
  • Notebooks
  • Google Colab
  • Kaggle

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  • config.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • vocab.txt
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