Instructions to use Vrushali/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Vrushali/en_pipeline with spaCy:
!pip install https://huggingface.co/Vrushali/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:
- 40abcf7abb43dbeec515e2d0202215417237aca8e49e77b7ae533ff56c6fc537
- Size of remote file:
- 6.01 MB
- SHA256:
- 6d099069de0602a63e6d99229546522ddfe08bcc1b8d4315ce4795019c25c22b
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