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:
- eec3d8dd4e3761b1d8777e43621826048abf4077a3955c43f80802f74c1db0f3
- Size of remote file:
- 1.16 MB
- SHA256:
- ed7f10436a94b6b10b4c2bbfb0c2fd73cb4fdd0282722a65fbcfc7ccf80cc714
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