Instructions to use manjaveca/entity-extractor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use manjaveca/entity-extractor with spaCy:
!pip install https://huggingface.co/manjaveca/entity-extractor/resolve/main/entity-extractor-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("entity-extractor") # Importing as module. import entity-extractor nlp = entity-extractor.load() - Notebooks
- Google Colab
- Kaggle
Download ner/model from manjaveca/entity-extractor: direct link, hf CLI and curl.
- Browser
- Download file 6.15 MB
-
https://huggingface.co/manjaveca/entity-extractor/resolve/main/ner/model
- Command line
-
hf download hf://manjaveca/entity-extractor/ner/model
-
curl -L -o model https://huggingface.co/manjaveca/entity-extractor/resolve/main/ner/model
6.15 MB
- Xet hash:
- d23046ff82a2fde988306534be020f899b94e97a24b5ba31241eb28a188f1cf1
- Size of remote file:
- 6.15 MB
- SHA256:
- 6f47ca062eb419c8ffb7d3023e6fbc4b2eb21dab14c5d49aa5e5586228b87405
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