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pt-sk
/
roberta_toxic_classifier

Text Classification
Transformers
PyTorch
English
roberta
toxic comments classification
Model card Files Files and versions
xet
Community

Instructions to use pt-sk/roberta_toxic_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pt-sk/roberta_toxic_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pt-sk/roberta_toxic_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pt-sk/roberta_toxic_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("pt-sk/roberta_toxic_classifier")
  • Notebooks
  • Google Colab
  • Kaggle
roberta_toxic_classifier
502 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
pt-sk's picture
pt-sk
Update README.md
fdb6cd8 verified almost 2 years ago
  • .gitattributes
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  • README.md
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  • config.json
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  • merges.txt
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  • pytorch_model.bin

    Detected Pickle imports (3)

    • "collections.OrderedDict",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage"

    What is a pickle import?

    501 MB
    xet
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  • special_tokens_map.json
    239 Bytes
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  • tokenizer_config.json
    25 Bytes
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  • vocab.json
    798 kB
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