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pingkeest
/
OR_finetuned_classification

Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use pingkeest/OR_finetuned_classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="pingkeest/OR_finetuned_classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("pingkeest/OR_finetuned_classification")
    model = AutoModelForSequenceClassification.from_pretrained("pingkeest/OR_finetuned_classification")
  • Notebooks
  • Google Colab
  • Kaggle
OR_finetuned_classification / runs
34.6 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
pingkeest's picture
pingkeest
Model save
4b836ff verified over 1 year ago
  • Jan20_17-40-23_PingkeePC
    Training in progress, step 2000 over 1 year ago
  • Jan21_16-26-54_PingkeePC
    Model save over 1 year ago