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ultra-coder54732
/
MiniLM-prop-16-train-set

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 ultra-coder54732/MiniLM-prop-16-train-set with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ultra-coder54732/MiniLM-prop-16-train-set with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ultra-coder54732/MiniLM-prop-16-train-set")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ultra-coder54732/MiniLM-prop-16-train-set")
    model = AutoModelForSequenceClassification.from_pretrained("ultra-coder54732/MiniLM-prop-16-train-set")
  • Notebooks
  • Google Colab
  • Kaggle
MiniLM-prop-16-train-set / runs
9.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ultra-coder54732's picture
ultra-coder54732
End of training
6b2e7fb almost 4 years ago
  • Jul27_00-40-46_6d209c40d65d
    End of training almost 4 years ago