Instructions to use spacy/ja_core_news_trf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/ja_core_news_trf with spaCy:
!pip install https://huggingface.co/spacy/ja_core_news_trf/resolve/main/ja_core_news_trf-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("ja_core_news_trf") # Importing as module. import ja_core_news_trf nlp = ja_core_news_trf.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0be6584b6f6eee077255bbb504ee4b867595b0a5f65cdbc5d50a3f8d6e811639
- Size of remote file:
- 319 kB
- SHA256:
- 523876b7059ce72c6931fc7db42b99f281e09aa475f61704bbd86b47f2f056f0
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