Instructions to use osanseviero/en_core_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use osanseviero/en_core_web_sm with spaCy:
!pip install https://huggingface.co/osanseviero/en_core_web_sm/resolve/main/en_core_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_core_web_sm") # Importing as module. import en_core_web_sm nlp = en_core_web_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c6c0749e8f9d77164fa110c61d1c21f39e2c4cc9a63dcc518f3070e726419f1
- Size of remote file:
- 6.14 MB
- SHA256:
- 1948c4cf0d3b8bfc58386f9f62a3cfdbffc3ff29e13d960a5392896e06d60a2f
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