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mbouilloud
/
50_50_downsampled_deberta

Text Classification
Transformers
PyTorch
deberta
Model card Files Files and versions
xet
Community
1

Instructions to use mbouilloud/50_50_downsampled_deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mbouilloud/50_50_downsampled_deberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mbouilloud/50_50_downsampled_deberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mbouilloud/50_50_downsampled_deberta")
    model = AutoModelForSequenceClassification.from_pretrained("mbouilloud/50_50_downsampled_deberta")
  • Notebooks
  • Google Colab
  • Kaggle
50_50_downsampled_deberta
557 MB
Ctrl+K
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  • 1 contributor
History: 2 commits
mbouilloud's picture
mbouilloud
Upload DebertaForSequenceClassification
6ad29a3 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • config.json
    787 Bytes
    Upload DebertaForSequenceClassification about 3 years ago
  • pytorch_model.bin
    557 MB
    xet
    Upload DebertaForSequenceClassification about 3 years ago