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:
- 7dd24b3fa39a6b1461c809382781663b90f02e638f5eeefc09c5e28400be283c
- Size of remote file:
- 320 kB
- SHA256:
- 86de5c9df77f4e1b7f943a9bbe03597f247958f1c9d6cb4c2319028b855e4b8f
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