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Neha2608
/
results

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

Instructions to use Neha2608/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Neha2608/results with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Neha2608/results")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Neha2608/results")
    model = AutoModelForSequenceClassification.from_pretrained("Neha2608/results")
  • Notebooks
  • Google Colab
  • Kaggle
results / runs
20.3 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Neha2608's picture
Neha2608
Hurray! Almost finished as training is complete.
528d366 almost 4 years ago
  • Aug16_18-58-53_c45cd9bcd42a
    Hurray! Almost finished as training is complete. almost 4 years ago
  • Aug17_00-01-24_fe83b48d5ee2
    Hurray! Almost finished as training is complete. almost 4 years ago