Instructions to use mjr27/en_egw_entity_extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use mjr27/en_egw_entity_extractor with spaCy:
!pip install https://huggingface.co/mjr27/en_egw_entity_extractor/resolve/main/en_egw_entity_extractor-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_egw_entity_extractor") # Importing as module. import en_egw_entity_extractor nlp = en_egw_entity_extractor.load() - Notebooks
- Google Colab
- Kaggle
Download parser/model from mjr27/en_egw_entity_extractor: direct link, hf CLI and curl.
- Browser
- Download file 1.67 MB
-
https://huggingface.co/mjr27/en_egw_entity_extractor/resolve/main/parser/model
- Command line
-
hf download hf://mjr27/en_egw_entity_extractor/parser/model
-
curl -L -o model https://huggingface.co/mjr27/en_egw_entity_extractor/resolve/main/parser/model
1.67 MB
- Xet hash:
- 01d380ddaa1a187fde432b115d1507deeab452cb2c5726e542f5dfa0683583a0
- Size of remote file:
- 1.67 MB
- SHA256:
- f0a3560e3472ad352d6a5ac23982cefd951e18737a6e3dca4297fb790be273a1
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