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:
- 5e1ac0e25373aafac403718c41e22c3920f94bb4c1d79f04cb0427762bdc0944
- Size of remote file:
- 5.72 MB
- SHA256:
- d05d47c9a380f411084d22d76e661232bdc9a0c2f7787baa30d4de15868d66e6
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