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0x7o
/
roberta-base-ad-detector

Text Classification
Transformers
PyTorch
English
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use 0x7o/roberta-base-ad-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 0x7o/roberta-base-ad-detector with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="0x7o/roberta-base-ad-detector")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("0x7o/roberta-base-ad-detector")
    model = AutoModelForSequenceClassification.from_pretrained("0x7o/roberta-base-ad-detector")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-ad-detector
499 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 5 commits
Danil
Update config.json
75c2154 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    roberta-base-ad-detector about 3 years ago
  • README.md
    889 Bytes
    Update README.md about 3 years ago
  • config.json
    789 Bytes
    Update config.json about 3 years ago
  • pytorch_model.bin
    499 MB
    xet
    roberta-base-ad-detector about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    roberta-base-ad-detector about 3 years ago