Instructions to use janko/grc_ner_joint_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use janko/grc_ner_joint_sm with spaCy:
!pip install https://huggingface.co/janko/grc_ner_joint_sm/resolve/main/grc_ner_joint_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_ner_joint_sm") # Importing as module. import grc_ner_joint_sm nlp = grc_ner_joint_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afc2ce97b13913d59e0bc2d6569fe656585f926c292a3ddff647b64cb9a4ead5
- Size of remote file:
- 1.73 MB
- SHA256:
- ca028c3abafd0beefb1810c4ebae24f46967ac937e817e2fbbdd9575c509ab90
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