Instructions to use DanielHellebust/cycLingoNER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use DanielHellebust/cycLingoNER with spaCy:
!pip install https://huggingface.co/DanielHellebust/cycLingoNER/resolve/main/cycLingoNER-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("cycLingoNER") # Importing as module. import cycLingoNER nlp = cycLingoNER.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 086ee36a2dd0b4208bceedc309146ef306b95bcf8448e4556fd05b5a42bb6494
- Size of remote file:
- 502 MB
- SHA256:
- c9af56ee02113fc5f813129f61900d11bcd78d003bf559038aadfbdc235b86de
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