Instructions to use danielcthompson/en_scispaCy_vascular_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use danielcthompson/en_scispaCy_vascular_classification with spaCy:
!pip install https://huggingface.co/danielcthompson/en_scispaCy_vascular_classification/resolve/main/en_scispaCy_vascular_classification-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_scispaCy_vascular_classification") # Importing as module. import en_scispaCy_vascular_classification nlp = en_scispaCy_vascular_classification.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ced3b5441d79b37d9b687464c4b3089b88c216c00c9fdd14b212f171f234bed9
- Size of remote file:
- 6.46 MB
- SHA256:
- 96daf5df123c8c85f7acb6fe6f5f7139c1d05608f4c3924007e53ad2bc73bda8
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