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gsl22
/
testando

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

Instructions to use gsl22/testando with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use gsl22/testando with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="gsl22/testando")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("gsl22/testando")
    model = AutoModelForSequenceClassification.from_pretrained("gsl22/testando")
  • Notebooks
  • Google Colab
  • Kaggle
testando / runs
8.49 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 26 commits
gsl22's picture
gsl22
End of training
66c1acd over 2 years ago
  • Sep28_14-21-25_ebe285207607
    End of training over 2 years ago