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LDKSolutions
/
KR-cryptodeberta-v2-base

Text Classification
Transformers
PyTorch
deberta
Model card Files Files and versions
xet
Community
2

Instructions to use LDKSolutions/KR-cryptodeberta-v2-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use LDKSolutions/KR-cryptodeberta-v2-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="LDKSolutions/KR-cryptodeberta-v2-base")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("LDKSolutions/KR-cryptodeberta-v2-base")
    model = AutoModelForSequenceClassification.from_pretrained("LDKSolutions/KR-cryptodeberta-v2-base")
  • Notebooks
  • Google Colab
  • Kaggle
KR-cryptodeberta-v2-base
1.51 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Kim
initial commit
95933a4 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    28 Bytes
    initial commit about 3 years ago