Instructions to use aymericb/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use aymericb/en_pipeline with spaCy:
!pip install https://huggingface.co/aymericb/en_pipeline/resolve/main/en_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_pipeline") # Importing as module. import en_pipeline nlp = en_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8deadee6cfe4e5e852bf4c65997197132a6184042e0d904717b15442aceb0e1d
- Size of remote file:
- 6.59 MB
- SHA256:
- 7b1b55edb272e4808872670d5db9131cd18f11a0cff3b6e80588ab460a01b65c
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