Instructions to use MohaAM/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use MohaAM/en_pipeline with spaCy:
!pip install https://huggingface.co/MohaAM/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:
- 61f5c334de79f72ea8a842745da1be2d31a97f9d611536ce9c0260b140592cee
- Size of remote file:
- 6.59 MB
- SHA256:
- c3d5333dfc0da3b6a1732d4f797d937fbf44b971d9145572d1b295cfa8d52e26
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