Instructions to use spacy/sv_core_news_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use spacy/sv_core_news_sm with spaCy:
!pip install https://huggingface.co/spacy/sv_core_news_sm/resolve/main/sv_core_news_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("sv_core_news_sm") # Importing as module. import sv_core_news_sm nlp = sv_core_news_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ed4d3e4b5147909c7fa6b1e1debab8ecd1b2b17b6a9a5610e8ff73c283bd0b1
- Size of remote file:
- 307 kB
- SHA256:
- fbd270c84278f6a8004f288460569df067da03504221a6c779b35c75c27205c1
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