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Var3n
/
jobads-position

Token Classification
spaCy
German
job-title-extraction
ner
historical-newspapers
job-advertisements
digital-humanities
Model card Files Files and versions
xet
Community

Instructions to use Var3n/jobads-position with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • spaCy

    How to use Var3n/jobads-position with spaCy:

    !pip install https://huggingface.co/Var3n/jobads-position/resolve/main/jobads-position-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("jobads-position")
    
    # Importing as module.
    import jobads-position
    nlp = jobads-position.load()
  • Notebooks
  • Google Colab
  • Kaggle
jobads-position
438 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Var3n's picture
Var3n
Create README.md
26694f5 verified about 1 month ago
  • ner
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  • transformer
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  • vocab
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  • .gitattributes
    1.62 kB
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  • README.md
    11.8 kB
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  • config.cfg
    3.03 kB
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  • meta.json
    865 Bytes
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  • tokenizer
    49.3 kB
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