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:
- e8c2d97cc4885837e443f3d7b8351d3e360ee9a30707eb2d4bc1f8c3d49bceed
- Size of remote file:
- 6.01 MB
- SHA256:
- cae929795434f7d1802237998a2e1bb6e9fbb0058df1c8bb1e2a859df84c1271
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