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JeswinMS4
/
distilroberta-dark-pattern2

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use JeswinMS4/distilroberta-dark-pattern2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JeswinMS4/distilroberta-dark-pattern2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JeswinMS4/distilroberta-dark-pattern2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JeswinMS4/distilroberta-dark-pattern2")
    model = AutoModelForSequenceClassification.from_pretrained("JeswinMS4/distilroberta-dark-pattern2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distilroberta-dark-pattern2
332 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
JeswinMS4's picture
JeswinMS4
Model save
b09bcee verified over 2 years ago
  • runs
    Training complete! over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.57 kB
    Training complete! over 2 years ago
  • config.json
    884 Bytes
    Training complete! over 2 years ago
  • merges.txt
    456 kB
    Training complete! over 2 years ago
  • model.safetensors
    328 MB
    xet
    Training complete! over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Training complete! over 2 years ago
  • tokenizer.json
    2.11 MB
    Training complete! over 2 years ago
  • tokenizer_config.json
    1.22 kB
    Training complete! over 2 years ago
  • training_args.bin
    4.73 kB
    xet
    Training complete! over 2 years ago
  • vocab.json
    798 kB
    Training complete! over 2 years ago