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
Download attribute_ruler/patterns from danielcthompson/en_scispaCy_vascular_classification: direct link, hf CLI and curl.
- Browser
- Download file 14.7 kB
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https://huggingface.co/danielcthompson/en_scispaCy_vascular_classification/resolve/main/attribute_ruler/patterns
- Command line
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hf download hf://danielcthompson/en_scispaCy_vascular_classification/attribute_ruler/patterns
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curl -L -o patterns https://huggingface.co/danielcthompson/en_scispaCy_vascular_classification/resolve/main/attribute_ruler/patterns
14.7 kB
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