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Innocull
/
en_gendered_job_advertisements

Token Classification
spaCy
English
Eval Results (legacy)
Model card Files Files and versions
xet
Community

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

  • Libraries
  • spaCy

    How to use Innocull/en_gendered_job_advertisements with spaCy:

    !pip install https://huggingface.co/Innocull/en_gendered_job_advertisements/resolve/main/en_gendered_job_advertisements-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("en_gendered_job_advertisements")
    
    # Importing as module.
    import en_gendered_job_advertisements
    nlp = en_gendered_job_advertisements.load()
  • Notebooks
  • Google Colab
  • Kaggle
en_gendered_job_advertisements
12.2 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Innocull's picture
Innocull
Upload requirements.txt with huggingface_hub
1a26414 about 3 years ago
  • ner
    Update spaCy pipeline about 3 years ago
  • tok2vec
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  • vocab
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  • .gitattributes
    1.62 kB
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  • README.md
    1.1 kB
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  • config.cfg
    2.66 kB
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  • en_gendered_job_advertisements-any-py3-none-any.whl
    5.73 MB
    xet
    Update spaCy pipeline about 3 years ago
  • handler.py
    501 Bytes
    Upload handler.py with huggingface_hub about 3 years ago
  • meta.json
    921 Bytes
    Update spaCy pipeline about 3 years ago
  • requirements.txt
    0 Bytes
    Upload requirements.txt with huggingface_hub about 3 years ago
  • tokenizer
    78.1 kB
    Update spaCy pipeline about 3 years ago