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kms7530
/
roberta-base-infringement-detect

Text Classification
Transformers
ONNX
Safetensors
Korean
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use kms7530/roberta-base-infringement-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kms7530/roberta-base-infringement-detect with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="kms7530/roberta-base-infringement-detect")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("kms7530/roberta-base-infringement-detect")
    model = AutoModelForSequenceClassification.from_pretrained("kms7530/roberta-base-infringement-detect")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-infringement-detect
998 MB
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  • 1 contributor
History: 9 commits
kms7530's picture
kms7530
Update config.json
5eba05c verified almost 2 years ago
  • onnx
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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    1.27 kB
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  • config.json
    928 Bytes
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  • model.safetensors
    443 MB
    xet
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  • quantize_config.json
    882 Bytes
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  • special_tokens_map.json
    971 Bytes
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  • tokenizer.json
    752 kB
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  • tokenizer_config.json
    1.28 kB
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  • vocab.txt
    248 kB
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