Instructions to use Sefaria/he_ref_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Sefaria/he_ref_ner with spaCy:
!pip install https://huggingface.co/Sefaria/he_ref_ner/resolve/main/he_ref_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("he_ref_ner") # Importing as module. import he_ref_ner nlp = he_ref_ner.load() - Notebooks
- Google Colab
- Kaggle
Download vocab/strings.json from Sefaria/he_ref_ner: direct link, hf CLI and curl.
- Browser
- Download file 16.1 MB
-
https://huggingface.co/Sefaria/he_ref_ner/resolve/main/vocab/strings.json
- Command line
-
hf download hf://Sefaria/he_ref_ner/vocab/strings.json
-
curl -L -o strings.json https://huggingface.co/Sefaria/he_ref_ner/resolve/main/vocab/strings.json
16.1 MB
- Xet hash:
- 64391ca25c99d0dbd21c9a3ffa1b57947420db62c3561c40e5ef945397e5d0e6
- Size of remote file:
- 16.1 MB
- SHA256:
- ccaaee428b51c1335316f1c1aac38ff55e33f79d3ac431eb31a1639c68fffd4d
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