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mcanoglu
/
microsoft-codebert-base-finetuned-defect-detection

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

Instructions to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mcanoglu/microsoft-codebert-base-finetuned-defect-detection with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mcanoglu/microsoft-codebert-base-finetuned-defect-detection")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection")
    model = AutoModelForSequenceClassification.from_pretrained("mcanoglu/microsoft-codebert-base-finetuned-defect-detection")
  • Notebooks
  • Google Colab
  • Kaggle
microsoft-codebert-base-finetuned-defect-detection / runs
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  • 1 contributor
History: 20 commits
mcanoglu's picture
mcanoglu
Training in progress, epoch 4
0d45dba verified about 2 years ago
  • Feb19_15-56-43_nvlk203gi1
    Training in progress, epoch 4 about 2 years ago
  • Feb20_10-56-43_nvqoi6hvfq
    Training in progress, epoch 0 about 2 years ago
  • Feb20_11-25-50_nvqoi6hvfq
    Training in progress, epoch 4 about 2 years ago
  • Jan18_20-04-20_nuckm90kml
    End of training over 2 years ago
  • Jan18_20-47-12_ncfx0wf02p
    End of training over 2 years ago
  • Jan20_13-35-06_n9h3n1cecs
    Training in progress, epoch 1 over 2 years ago
  • Jan20_13-39-44_n9h3n1cecs
    Training in progress, epoch 1 over 2 years ago
  • Jan20_13-46-54_n9h3n1cecs
    Training in progress, epoch 3 over 2 years ago