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:
- 3cb41efd99545385745493acc23168b361803790517b79f8180fb5ff97aba8f4
- Size of remote file:
- 6.16 MB
- SHA256:
- 54044310c59e751db90baec4cb797ed7826be0a7a7b729e22f2c5371a1c13458
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.