Instructions to use Sefaria/en_torah_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Sefaria/en_torah_ner with spaCy:
!pip install https://huggingface.co/Sefaria/en_torah_ner/resolve/main/en_torah_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_torah_ner") # Importing as module. import en_torah_ner nlp = en_torah_ner.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f89b22b5edff13cdf1c48380dcefcefd3bef76b473620e11b23d40ad91ef930e
- Size of remote file:
- 43.4 MB
- SHA256:
- 03c3a501e40314829638b3ea656a9b0c0dc15b73230be5ac39474bcafb5fec58
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