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:
- e3b97db1f6deb5f7a14deac6111dae32e1b4833041b5d19a94149aacc4b6e0cc
- Size of remote file:
- 501 MB
- SHA256:
- 4e55d3029713b1403c69609fc0c40967c99340a7fd5dfc50ca35b4dd864da32b
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