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tner
/
deberta-v3-large-btc

Token Classification
Transformers
PyTorch
deberta-v2
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use tner/deberta-v3-large-btc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tner/deberta-v3-large-btc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="tner/deberta-v3-large-btc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tner/deberta-v3-large-btc")
    model = AutoModelForTokenClassification.from_pretrained("tner/deberta-v3-large-btc")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-large-btc / eval
417 kB
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  • 1 contributor
History: 1 commit
asahi417's picture
asahi417
model update
59fbbac over 3 years ago
  • metric.json
    1.09 kB
    model update over 3 years ago
  • metric_span.json
    438 Bytes
    model update over 3 years ago
  • prediction.validation.json
    416 kB
    model update over 3 years ago