Instructions to use wjbeeson/en_core_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use wjbeeson/en_core_web_sm with spaCy:
!pip install https://huggingface.co/wjbeeson/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:
- 6c11ae5313c9fdfd65fe70234aa54d430e0cfe4f6eafbf4e6033f50f1307dd86
- Size of remote file:
- 6.15 MB
- SHA256:
- 6f47ca062eb419c8ffb7d3023e6fbc4b2eb21dab14c5d49aa5e5586228b87405
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