Instructions to use bb5kb/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use bb5kb/en_pipeline with spaCy:
!pip install https://huggingface.co/bb5kb/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:
- b50002d69f6622e00fae18041c7c1209dca45567f17f7461400588dbc5dcf969
- Size of remote file:
- 226 kB
- SHA256:
- f1c4b197a0acd6bd711bbb71ec0ae75957b2ff58578dde4abf9f82520ef9b2be
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.