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:
- 636860378a0a2a15bfc7e9ce8d9f6c3379602965781e33a3f5364fa01dcd60e5
- Size of remote file:
- 1.16 MB
- SHA256:
- 3a8cf9404b8845c746e4ae60773bb27bdf22cf7b8ac4ed9fae137a11d1b2c360
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