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Mykes
/
rubert_ner_SDDCS

Token Classification
Transformers
Safetensors
Russian
bert
biology
medical
Model card Files Files and versions
xet
Community

Instructions to use Mykes/rubert_ner_SDDCS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Mykes/rubert_ner_SDDCS with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Mykes/rubert_ner_SDDCS")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Mykes/rubert_ner_SDDCS")
    model = AutoModelForTokenClassification.from_pretrained("Mykes/rubert_ner_SDDCS")
  • Notebooks
  • Google Colab
  • Kaggle
rubert_ner_SDDCS
118 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 13 commits
Mykes's picture
Mykes
Update README.md
fe24757 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    6.28 kB
    Update README.md over 1 year ago
  • config.json
    1.29 kB
    Improving weights over 1 year ago
  • model.safetensors
    116 MB
    xet
    Improving weights over 1 year ago
  • special_tokens_map.json
    695 Bytes
    Improving weights over 1 year ago
  • tokenizer_config.json
    1.24 kB
    Improving weights over 1 year ago
  • vocab.txt
    1.08 MB
    Improving weights over 1 year ago