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:
- 76fa3f387dade0cfa11b683e5c150c7421e4afd3d5309992a8b67f113ee27858
- Size of remote file:
- 1.68 MB
- SHA256:
- d24ec95a557ceda004eb1fcec85bc81d350161626dc9d6db6d73e84fa3ee3150
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