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dimboump
/
glue_sst_classifier

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

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

  • Libraries
  • Transformers

    How to use dimboump/glue_sst_classifier with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="dimboump/glue_sst_classifier")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dimboump/glue_sst_classifier")
    model = AutoModelForSequenceClassification.from_pretrained("dimboump/glue_sst_classifier", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
glue_sst_classifier / runs
14.1 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
dimboump's picture
dimboump
End of training
d95281b over 4 years ago
  • Apr26_11-22-37_1de040a163f3
    End of training over 4 years ago