Instructions to use jcorrie/en_extract_defined_terms with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jcorrie/en_extract_defined_terms with spaCy:
!pip install https://huggingface.co/jcorrie/en_extract_defined_terms/resolve/main/en_extract_defined_terms-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_extract_defined_terms") # Importing as module. import en_extract_defined_terms nlp = en_extract_defined_terms.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a0d3748e30cc4bced4b5bfa76d602982a56483fbec041c192aea28a19e1e2f5
- Size of remote file:
- 6.01 MB
- SHA256:
- 87fba3f69ffb6f30ad741f2704605d5ed9a3694f9aee75f03ad93b39642e78e0
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