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xoyeop
/
deberta-base-TEST

Text Classification
Transformers
PyTorch
TensorBoard
deberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use xoyeop/deberta-base-TEST with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use xoyeop/deberta-base-TEST with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="xoyeop/deberta-base-TEST")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("xoyeop/deberta-base-TEST")
    model = AutoModelForSequenceClassification.from_pretrained("xoyeop/deberta-base-TEST")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-TEST / runs
29.9 kB
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  • 1 contributor
History: 4 commits
xoyeop's picture
xoyeop
Model save
6f08b71 almost 3 years ago
  • Jul17_17-09-37_7b937c051972
    Training in progress, epoch 1 almost 3 years ago
  • Jul17_17-18-58_7b937c051972
    Training in progress, epoch 1 almost 3 years ago
  • Jul17_17-34-24_7b937c051972
    Training in progress, epoch 1 almost 3 years ago
  • Jul17_17-44-15_7b937c051972
    Training in progress, epoch 1 almost 3 years ago
  • Jul17_17-52-54_7b937c051972
    Model save almost 3 years ago