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:
- a92d6a898bf559db140696c141eb1183e374aca53064ab6ce6fc403614b0ba18
- Size of remote file:
- 77.8 kB
- SHA256:
- c6fa5031a14a4f7ea4f3de4287ff1ccb8b11999f4835c2b3fe032f2fb6b60b07
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