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SuperSecureHuman
/
trainer_test_checkpoint

Text Classification
Transformers
PyTorch
TensorBoard
bert
Model card Files Files and versions
xet
Metrics Training metrics Community
1

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

  • Libraries
  • Transformers

    How to use SuperSecureHuman/trainer_test_checkpoint with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="SuperSecureHuman/trainer_test_checkpoint")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("SuperSecureHuman/trainer_test_checkpoint")
    model = AutoModelForSequenceClassification.from_pretrained("SuperSecureHuman/trainer_test_checkpoint")
  • Notebooks
  • Google Colab
  • Kaggle
trainer_test_checkpoint / runs
7.78 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
SuperSecureHuman's picture
SuperSecureHuman
Training in progress, step 55
6310142 almost 3 years ago
  • Aug01_08-59-35_bf9c8dab34e2
    Training in progress, step 55 almost 3 years ago