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davidgaofc
/
temp_attack

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

Instructions to use davidgaofc/temp_attack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use davidgaofc/temp_attack with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="davidgaofc/temp_attack")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("davidgaofc/temp_attack")
    model = AutoModelForSequenceClassification.from_pretrained("davidgaofc/temp_attack")
  • Notebooks
  • Google Colab
  • Kaggle
temp_attack / runs
26.4 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
davidgaofc's picture
davidgaofc
End of training
3e99066 over 2 years ago
  • Dec13_21-09-08_e299836930e2
    End of training over 2 years ago
  • Dec14_03-15-00_2f59d6d2b43a
    End of training over 2 years ago
  • Dec14_03-20-43_2f59d6d2b43a
    End of training over 2 years ago