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malcolm
/
REA_GenderIdentification_v1

Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
3

Instructions to use malcolm/REA_GenderIdentification_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use malcolm/REA_GenderIdentification_v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="malcolm/REA_GenderIdentification_v1")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("malcolm/REA_GenderIdentification_v1")
    model = AutoModelForSequenceClassification.from_pretrained("malcolm/REA_GenderIdentification_v1")
  • Notebooks
  • Google Colab
  • Kaggle
REA_GenderIdentification_v1 / runs
12.2 kB
Ctrl+K
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  • 1 contributor
History: 2 commits
malcolm's picture
malcolm
End of training
091ade5 about 4 years ago
  • Apr15_08-23-33_254a60576360
    End of training about 4 years ago