Instructions to use jafonz/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jafonz/en_pipeline with spaCy:
!pip install https://huggingface.co/jafonz/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:
- efaa50af937af2a28ed436f8993dc1415a786ccf7750b5ee2c3257af9a728214
- Size of remote file:
- 34.1 MB
- SHA256:
- 3cf13eeb10dfc342d0dbae6fc3463546d7b9fea21ed73481d4383f3684ca24bd
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