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Rami
/
multi-label-class-classification-on-github-issues

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use Rami/multi-label-class-classification-on-github-issues with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Rami/multi-label-class-classification-on-github-issues with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Rami/multi-label-class-classification-on-github-issues")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Rami/multi-label-class-classification-on-github-issues")
    model = AutoModelForSequenceClassification.from_pretrained("Rami/multi-label-class-classification-on-github-issues")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
multi-label-class-classification-on-github-issues / runs /Jan08_19-39-39_50cc6bd24d93
11.7 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
Rami's picture
Rami
Training in progress, epoch 1
1951e0a over 3 years ago
  • 1673206783.0456414
    Training in progress, epoch 1 over 3 years ago
  • events.out.tfevents.1673206783.50cc6bd24d93.212.2
    6.08 kB
    xet
    Training in progress, epoch 1 over 3 years ago