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
Download vocab/key2row from d4data/en_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 1 Bytes
-
https://huggingface.co/d4data/en_pipeline/resolve/main/vocab/key2row
- Command line
-
hf download hf://d4data/en_pipeline/vocab/key2row
-
curl -L -o key2row https://huggingface.co/d4data/en_pipeline/resolve/main/vocab/key2row
1 Bytes
- Xet hash:
- 0eac93bcb88bef61007c58c55699e1c781f757c0550151eeb40456b8f0a27601
- Size of remote file:
- 1 Bytes
- SHA256:
- 76be8b528d0075f7aae98d6fa57a6d3c83ae480a8469e668d7b0af968995ac71
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