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rcade
/
glue_rcade_test_model

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

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

  • Libraries
  • Transformers

    How to use rcade/glue_rcade_test_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rcade/glue_rcade_test_model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rcade/glue_rcade_test_model")
    model = AutoModelForSequenceClassification.from_pretrained("rcade/glue_rcade_test_model")
  • Notebooks
  • Google Colab
  • Kaggle
glue_rcade_test_model / runs
12.7 kB
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  • 1 contributor
History: 2 commits
rcade's picture
rcade
End of training
c5cd75c verified over 2 years ago
  • Jan25_12-02-01_ip-172-31-57-128
    Training in progress, step 500 over 2 years ago
  • Jan25_12-04-07_ip-172-31-57-128
    End of training over 2 years ago