Instructions to use Sefaria/en_subref_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Sefaria/en_subref_ner with spaCy:
!pip install https://huggingface.co/Sefaria/en_subref_ner/resolve/main/en_subref_ner-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_subref_ner") # Importing as module. import en_subref_ner nlp = en_subref_ner.load() - Notebooks
- Google Colab
- Kaggle
Download tok2vec/model from Sefaria/en_subref_ner: direct link, hf CLI and curl.
- Browser
- Download file 43.4 MB
-
https://huggingface.co/Sefaria/en_subref_ner/resolve/main/tok2vec/model
- Command line
-
hf download hf://Sefaria/en_subref_ner/tok2vec/model
-
curl -L -o model https://huggingface.co/Sefaria/en_subref_ner/resolve/main/tok2vec/model
43.4 MB
- Xet hash:
- 81661197c662ccffb113164f908314bb7b68698f033f5f01ff05840e45903a99
- Size of remote file:
- 43.4 MB
- SHA256:
- 45a76893a3e95ca060868c28ef84dbe0cac67bbeb77d52f23e8bd36f08af3c7f
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