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:
- dda78e2d767e0efebc6939fcb7ee224c2936930fd9f81692e54dc11d0e06e69c
- Size of remote file:
- 221 Bytes
- SHA256:
- a7172edadafba9f472e9ac0f2660eec04b6405e471be9e20267b79c67288d22d
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