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rendchevi
/
expemo-study-1-deberta-v3-base

Text Classification
Transformers
Safetensors
deberta-v2
Model card Files Files and versions
xet
Community

Instructions to use rendchevi/expemo-study-1-deberta-v3-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rendchevi/expemo-study-1-deberta-v3-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rendchevi/expemo-study-1-deberta-v3-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rendchevi/expemo-study-1-deberta-v3-base")
    model = AutoModelForSequenceClassification.from_pretrained("rendchevi/expemo-study-1-deberta-v3-base")
  • Notebooks
  • Google Colab
  • Kaggle
expemo-study-1-deberta-v3-base
738 MB
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  • 1 contributor
History: 2 commits
rendchevi's picture
rendchevi
Upload DebertaV2ForSequenceClassification
cc2893e verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload DebertaV2ForSequenceClassification over 1 year ago
  • config.json
    2.06 kB
    Upload DebertaV2ForSequenceClassification over 1 year ago
  • model.safetensors
    738 MB
    xet
    Upload DebertaV2ForSequenceClassification over 1 year ago