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
Download tok2vec/cfg from appfire/en_NER_Features: direct link, hf CLI and curl.
- Browser
- Download file 4 Bytes
-
https://huggingface.co/appfire/en_NER_Features/resolve/main/tok2vec/cfg
- Command line
-
hf download hf://appfire/en_NER_Features/tok2vec/cfg
-
curl -L -o cfg https://huggingface.co/appfire/en_NER_Features/resolve/main/tok2vec/cfg
4 Bytes
| { | |
| } |