Instructions to use josephmars/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use josephmars/en_pipeline with spaCy:
!pip install https://huggingface.co/josephmars/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:
- 3a119526c2246218814b867c68ee4c262d99436526438c3fd6a969ee5447de02
- Size of remote file:
- 1.74 MB
- SHA256:
- 4ecb2d49cc8bc39283d160ef3e94836166ff31265671523b35d4b6951fbf6581
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