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tsmaitry
/
devica-toxicity-xlmr-large

Text Classification
Transformers
Safetensors
xlm-roberta
toxicity,
indian-languages,
content-moderation,
multilingual,
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use tsmaitry/devica-toxicity-xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tsmaitry/devica-toxicity-xlmr-large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="tsmaitry/devica-toxicity-xlmr-large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tsmaitry/devica-toxicity-xlmr-large")
    model = AutoModelForSequenceClassification.from_pretrained("tsmaitry/devica-toxicity-xlmr-large", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
devica-toxicity-xlmr-large
2.26 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
tsmaitry's picture
tsmaitry
Update README.md
a9db400 verified 3 months ago
  • .gitattributes
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  • README.md
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  • config.json
    928 Bytes
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  • model.safetensors
    2.24 GB
    xet
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  • tokenizer.json
    16.8 MB
    xet
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  • tokenizer_config.json
    314 Bytes
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