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violetar
/
Ner-model

Token Classification
Transformers
Safetensors
English
modernbert
named-entity-recognition
conll2003
Model card Files Files and versions
xet
Community

Instructions to use violetar/Ner-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use violetar/Ner-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="violetar/Ner-model")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("violetar/Ner-model")
    model = AutoModelForTokenClassification.from_pretrained("violetar/Ner-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ner-model
1.59 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
violetar's picture
violetar
Create README.md
8377af9 verified 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.24 kB
    Create README.md 3 months ago
  • all_results.json
    319 Bytes
    Upload 8 files 3 months ago
  • config.json
    2.42 kB
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  • model.safetensors
    1.58 GB
    xet
    Upload 8 files 3 months ago
  • test_results.json
    319 Bytes
    Upload 8 files 3 months ago
  • tokenizer.json
    3.58 MB
    Upload 8 files 3 months ago
  • tokenizer_config.json
    380 Bytes
    Upload 8 files 3 months ago
  • trainer_state.json
    3.63 kB
    Upload 8 files 3 months ago
  • training_args.bin
    5.27 kB
    xet
    Upload 8 files 3 months ago