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jayavibhav
/
bert-classification-5ksamples

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use jayavibhav/bert-classification-5ksamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jayavibhav/bert-classification-5ksamples with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jayavibhav/bert-classification-5ksamples")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jayavibhav/bert-classification-5ksamples")
    model = AutoModelForSequenceClassification.from_pretrained("jayavibhav/bert-classification-5ksamples")
  • Notebooks
  • Google Colab
  • Kaggle
bert-classification-5ksamples / runs
5.18 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
jayavibhav's picture
jayavibhav
End of training
91de927 almost 3 years ago
  • Aug09_07-30-50_77073d7374c6
    End of training almost 3 years ago