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pepppper
/
roberta-unfair

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 pepppper/roberta-unfair with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pepppper/roberta-unfair with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pepppper/roberta-unfair")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pepppper/roberta-unfair")
    model = AutoModelForSequenceClassification.from_pretrained("pepppper/roberta-unfair")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-unfair / runs
Ctrl+K
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  • 1 contributor
History: 1 commit
pepppper's picture
pepppper
pepper/roberta-base-unfair-classification
0f7587b verified 9 months ago
  • Aug17_07-26-56_246a9bc83487
    pepper/roberta-base-unfair-classification 9 months ago
  • Aug17_07-30-23_f08d0e0e5f8d
    pepper/roberta-base-unfair-classification 9 months ago
  • Aug17_07-40-39_f08d0e0e5f8d
    pepper/roberta-base-unfair-classification 9 months ago
  • Aug17_07-44-56_f08d0e0e5f8d
    pepper/roberta-base-unfair-classification 9 months ago
  • Aug17_07-53-54_f08d0e0e5f8d
    pepper/roberta-base-unfair-classification 9 months ago