Instructions to use chcaa/grc_odycy_joint_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use chcaa/grc_odycy_joint_sm with spaCy:
!pip install https://huggingface.co/chcaa/grc_odycy_joint_sm/resolve/main/grc_odycy_joint_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_odycy_joint_sm") # Importing as module. import grc_odycy_joint_sm nlp = grc_odycy_joint_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a9ac3efd55fda9ad82dfe6912400f280fa2eb8482fd8aef44c6c4c53216da27
- Size of remote file:
- 1.73 MB
- SHA256:
- bac94b5fc583785ff707b157799237e1122d140a4433c634bd7fd7294370102c
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