Instructions to use hsengiv/en_journal_sectionize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use hsengiv/en_journal_sectionize with spaCy:
!pip install https://huggingface.co/hsengiv/en_journal_sectionize/resolve/main/en_journal_sectionize-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_journal_sectionize") # Importing as module. import en_journal_sectionize nlp = en_journal_sectionize.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a06c266354c20c444b44b56d523ef6f283b3fdf5189664255eb43ee8ba6da01d
- Size of remote file:
- 502 MB
- SHA256:
- 653af6b6e3c422c2cc6cac1e67c258d936adf94a5ae117001ec7d94ea4796803
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