Instructions to use spacy/ja_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/ja_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/ja_core_news_sm/resolve/main/ja_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ja_core_news_sm") # Importing as module. import ja_core_news_sm nlp = ja_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 378d94b37f2c99fd34915766add45d90066adec341d30d4f9155ab3868e8e87c
- Size of remote file:
- 300 kB
- SHA256:
- 526aefd8be7f01b2414496df350b7ddde6acc0bfb5ee39866564974d34791ee9
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