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:
- 9a279e420674c9f0087fd14bc8b4b8f93d3d503d3ca5d84a14dbe4b6c10491ba
- Size of remote file:
- 6.46 MB
- SHA256:
- c00434bf059467f3ff119860c727d98296dd8e2c582aa82da08088f102745dbb
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