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Angelakeke
/
RaTE-NER-Deberta

Token Classification
Transformers
Safetensors
English
deberta-v2
medical
radiology
Model card Files Files and versions
xet
Community

Instructions to use Angelakeke/RaTE-NER-Deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Angelakeke/RaTE-NER-Deberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Angelakeke/RaTE-NER-Deberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Angelakeke/RaTE-NER-Deberta")
    model = AutoModelForTokenClassification.from_pretrained("Angelakeke/RaTE-NER-Deberta")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
RaTE-NER-Deberta
747 MB
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  • 1 contributor
History: 24 commits
Angelakeke's picture
Angelakeke
Update README.md
66d4b81 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.24 kB
    Update README.md over 1 year ago
  • added_tokens.json
    23 Bytes
    Upload 8 files almost 2 years ago
  • config.json
    1.44 kB
    Upload 7 files almost 2 years ago
  • model.safetensors
    735 MB
    xet
    commit files to HF hub almost 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload 8 files almost 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload 8 files almost 2 years ago
  • tokenizer.json
    8.66 MB
    Upload 8 files almost 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload 8 files almost 2 years ago