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reallycarlaost
/
emobert-single-binary

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

Instructions to use reallycarlaost/emobert-single-binary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use reallycarlaost/emobert-single-binary with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="reallycarlaost/emobert-single-binary")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("reallycarlaost/emobert-single-binary")
    model = AutoModelForSequenceClassification.from_pretrained("reallycarlaost/emobert-single-binary")
  • Notebooks
  • Google Colab
  • Kaggle
emobert-single-binary / runs
20.1 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
reallycarlaost's picture
reallycarlaost
End of training
5ac0dca about 4 years ago
  • May12_10-33-40_de1a9a056e21
    End of training about 4 years ago