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:
- b3456b51686821e7b86b17a73ea41718475356c573278ffc236192b910523b22
- Size of remote file:
- 6.01 MB
- SHA256:
- 83cd77bdb6d935f8941a62089ac2347fe0e2f2be35c8955672687aad0cc2c292
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