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0xhikae
/
ja-ner-ja

Token Classification
spaCy
Japanese
ner
japanese
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use 0xhikae/ja-ner-ja with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • spaCy

    How to use 0xhikae/ja-ner-ja with spaCy:

    !pip install https://huggingface.co/0xhikae/ja-ner-ja/resolve/main/ja-ner-ja-any-py3-none-any.whl
    
    # Using spacy.load().
    import spacy
    nlp = spacy.load("ja-ner-ja")
    
    # Importing as module.
    import ja-ner-ja
    nlp = ja-ner-ja.load()
  • Notebooks
  • Google Colab
  • Kaggle
ja-ner-ja
13 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
0xhikae's picture
0xhikae
Add model card
fe0a3af verified about 2 months ago
  • ner
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago
  • tok2vec
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago
  • tokenizer
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago
  • vocab
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago
  • .gitattributes
    1.68 kB
    Add pip installable wheel about 2 months ago
  • README.md
    1.18 kB
    Add model card about 2 months ago
  • config.cfg
    2.62 kB
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago
  • ja_ner_ja-0.2.0-py3-none-any.whl
    5.62 MB
    xet
    Add pip installable wheel about 2 months ago
  • meta.json
    1.33 kB
    Upload ja_ner_ja v0.2.0 spaCy NER model about 2 months ago