Instructions to use danielcthompson/en_scispaCy_aaa_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use danielcthompson/en_scispaCy_aaa_classification with spaCy:
!pip install https://huggingface.co/danielcthompson/en_scispaCy_aaa_classification/resolve/main/en_scispaCy_aaa_classification-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_scispaCy_aaa_classification") # Importing as module. import en_scispaCy_aaa_classification nlp = en_scispaCy_aaa_classification.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1fd777acc2473439c642194326f2558b50eb21b177c3e3958aeef2b0a2edaaeb
- Size of remote file:
- 6.85 MB
- SHA256:
- b8fb5ca2ecc0cc39f17f0672684089b5db53f09022a051a7587e576b627815cf
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