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
| { | |
| "lang":"he", | |
| "name":"ref_ner", | |
| "version":"1.0.0", | |
| "description":"", | |
| "author":"", | |
| "email":"", | |
| "url":"", | |
| "license":"", | |
| "spacy_version":">=3.4.1,<3.5.0", | |
| "spacy_git_version":"Unknown", | |
| "vectors":{ | |
| "width":50, | |
| "vectors":391957, | |
| "keys":391957, | |
| "name":"he_pipeline.vectors" | |
| }, | |
| "labels":{ | |
| "tok2vec":[ | |
| ], | |
| "ner":[ | |
| "\u05de\u05e7\u05d5\u05e8" | |
| ] | |
| }, | |
| "pipeline":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "components":[ | |
| "tok2vec", | |
| "ner" | |
| ], | |
| "disabled":[ | |
| ], | |
| "performance":{ | |
| "ents_f":0.8295994569, | |
| "ents_p":0.8642149929, | |
| "ents_r":0.7976501305, | |
| "ents_per_type":{ | |
| "\u05de\u05e7\u05d5\u05e8":{ | |
| "p":0.8642149929, | |
| "r":0.7976501305, | |
| "f":0.8295994569 | |
| } | |
| }, | |
| "tok2vec_loss":447.7536238551, | |
| "ner_loss":45.6119190443 | |
| }, | |
| "requirements":[ | |
| ] | |
| } |