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JeremiahZ
/
roberta-base-sst2

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
2

Instructions to use JeremiahZ/roberta-base-sst2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JeremiahZ/roberta-base-sst2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-sst2")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-sst2")
    model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-sst2")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-sst2 / runs
16.5 kB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 5 commits
Jeremiah Zhou
End of training
1c05f36 almost 4 years ago
  • Jun14_11-41-12_pikachu
    End of training almost 4 years ago
  • Jun15_10-53-33_pikachu
    End of training almost 4 years ago