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dell-research-harvard
/
historical_newspaper_ner

Token Classification
Transformers
PyTorch
English
roberta
Model card Files Files and versions
xet
Community
1

Instructions to use dell-research-harvard/historical_newspaper_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dell-research-harvard/historical_newspaper_ner with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("token-classification", model="dell-research-harvard/historical_newspaper_ner")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTokenClassification
    
    tokenizer = AutoTokenizer.from_pretrained("dell-research-harvard/historical_newspaper_ner")
    model = AutoModelForTokenClassification.from_pretrained("dell-research-harvard/historical_newspaper_ner", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
historical_newspaper_ner
1.55 kB
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  • 1 contributor
History: 1 commit
emilys's picture
emilys
initial commit
134383d almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    27 Bytes
    initial commit almost 3 years ago