Instructions to use appfire/en_NER_Features with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use appfire/en_NER_Features with spaCy:
!pip install https://huggingface.co/appfire/en_NER_Features/resolve/main/en_NER_Features-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("en_NER_Features") # Importing as module. import en_NER_Features nlp = en_NER_Features.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3547f3ef1135aa04f865ea213a3da69b6b517228c693cfc0a336d3b72884f36b
- Size of remote file:
- 6.27 MB
- SHA256:
- e18256f820b4b92b0d5d86f87fc936ea82769d4d2e56c37f33f2480d96ac90ba
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