Instructions to use d4data/en_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use d4data/en_pipeline with spaCy:
!pip install https://huggingface.co/d4data/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:
- 80ec37926559d7d28b314871892f29bc42a8a49fcc15e876d39743fa7e4073cb
- Size of remote file:
- 207 kB
- SHA256:
- 1453bed514f796d860cc4c01cff0a76673bf8f7982f61c90c0b239d84d4abe38
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