Instructions to use mthero/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use mthero/en_pipeline with spaCy:
!pip install https://huggingface.co/mthero/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:
- 169a31db767d62cd924d7fe05bfeeb78ae205e7c7d48052f9210baf06a08a78f
- Size of remote file:
- 6.01 MB
- SHA256:
- 2ad3d9e532d9f90f8df2c1c946f796172c44bbbc09230193d28449eee522c5e4
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