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:
- efae01343fd44c76f125328f25f52071c71f513084422bd9c9f47c07d5234dae
- Size of remote file:
- 123 Bytes
- SHA256:
- 2b27d0d2eaccba8679818707cb1237abe14cae22c868e96c449b714cf3776a84
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