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
- Xet hash:
- 8aeaec69ef8ff5fdd1f9398690d852b57af4ec20232cb331e0f209fb76fd58b2
- Size of remote file:
- 140 kB
- SHA256:
- 4e9f80641f85dfc83c6bd1714438e7ce7764ebdbf7b450ebd450afb5864675e4
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