Instructions to use Jacobo/grc_ud_proiel_md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Jacobo/grc_ud_proiel_md with spaCy:
!pip install https://huggingface.co/Jacobo/grc_ud_proiel_md/resolve/main/grc_ud_proiel_md-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("grc_ud_proiel_md") # Importing as module. import grc_ud_proiel_md nlp = grc_ud_proiel_md.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 425be2d7cdf521226f062016a4b892fa5eee4250f27c63ea6e799e21a63ec097
- Size of remote file:
- 36 MB
- SHA256:
- 63df398bd8b60e7418a7f4d2b80d8caa558725b5d7947c878afc3d60ccc66c35
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