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jysh1023
/
bert_uncased_QAT

Text Classification
Transformers
PyTorch
TensorBoard
OpenVINO
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use jysh1023/bert_uncased_QAT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use jysh1023/bert_uncased_QAT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="jysh1023/bert_uncased_QAT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("jysh1023/bert_uncased_QAT")
    model = AutoModelForSequenceClassification.from_pretrained("jysh1023/bert_uncased_QAT")
  • Notebooks
  • Google Colab
  • Kaggle
bert_uncased_QAT / logs
30.7 kB
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  • 1 contributor
History: 16 commits
jysh1023's picture
jysh1023
End of training
86a3135 over 2 years ago
  • events.out.tfevents.1700306959.1d5d6d420ef6.90936.0
    7.84 kB
    xet
    Training in progress, epoch 1 over 2 years ago
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    xet
    Training in progress, epoch 1 over 2 years ago
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