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Dalila-Ku
/
full-ner

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Dalila-Ku/full-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Dalila-Ku/full-ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="Dalila-Ku/full-ner")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Dalila-Ku/full-ner")
    model = AutoModelForTokenClassification.from_pretrained("Dalila-Ku/full-ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
full-ner
436 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
Dalila-Ku's picture
Dalila-Ku
End of training
3c2716c verified 12 days ago
  • .gitattributes
    1.52 kB
    initial commit 12 days ago
  • README.md
    1.96 kB
    End of training 12 days ago
  • config.json
    1.11 kB
    Dalila-Ku/bert-base-conll03-ner 12 days ago
  • model.safetensors
    436 MB
    xet
    Dalila-Ku/bert-base-conll03-ner 12 days ago
  • tokenizer.json
    711 kB
    Dalila-Ku/bert-base-conll03-ner 12 days ago
  • tokenizer_config.json
    351 Bytes
    Dalila-Ku/bert-base-conll03-ner 12 days ago
  • training_args.bin
    5.27 kB
    xet
    End of training 12 days ago