Instructions to use spacy/ja_core_news_lg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/ja_core_news_lg with spaCy:
!pip install https://huggingface.co/spacy/ja_core_news_lg/resolve/main/ja_core_news_lg-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ja_core_news_lg") # Importing as module. import ja_core_news_lg nlp = ja_core_news_lg.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09672c766c57a16790282d9a6fa31c944f1499e421f05ac207e906f73b367133
- Size of remote file:
- 300 kB
- SHA256:
- 2d8e840827228759b9cdc34cb061fd2731f845d2a5614d2027924d2577e325cc
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