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zcahjl3
/
STORY_ERROR_CLASSIFICATION

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use zcahjl3/STORY_ERROR_CLASSIFICATION with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zcahjl3/STORY_ERROR_CLASSIFICATION with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="zcahjl3/STORY_ERROR_CLASSIFICATION")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("zcahjl3/STORY_ERROR_CLASSIFICATION")
    model = AutoModelForSequenceClassification.from_pretrained("zcahjl3/STORY_ERROR_CLASSIFICATION")
  • Notebooks
  • Google Colab
  • Kaggle
STORY_ERROR_CLASSIFICATION / runs
74.9 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
JL
Training in progress, epoch 5
926cd82 about 3 years ago
  • Mar31_02-56-06_2cae2e4afec6
    Training in progress, epoch 1 about 3 years ago
  • Mar31_03-05-17_2cae2e4afec6
    Training in progress, epoch 1 about 3 years ago
  • Mar31_03-06-38_2cae2e4afec6
    Training in progress, epoch 1 about 3 years ago
  • Mar31_03-07-21_2cae2e4afec6
    Training in progress, epoch 1 about 3 years ago
  • Mar31_03-08-01_2cae2e4afec6
    Training in progress, epoch 1 about 3 years ago
  • Mar31_03-15-18_2cae2e4afec6
    Training in progress, epoch 2 about 3 years ago
  • Mar31_14-33-37_f03c26b1da26
    Training in progress, epoch 5 about 3 years ago