Instructions to use stcoats/de_STTS2_folk_normal_orth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use stcoats/de_STTS2_folk_normal_orth with spaCy:
!pip install https://huggingface.co/stcoats/de_STTS2_folk_normal_orth/resolve/main/de_STTS2_folk_normal_orth-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_STTS2_folk_normal_orth") # Importing as module. import de_STTS2_folk_normal_orth nlp = de_STTS2_folk_normal_orth.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0c7d2d9fd5a802f3341e5583f31fa3e1b14b548642ad9ac0750fe2b22a5b2c30
- Size of remote file:
- 6.01 MB
- SHA256:
- b5791abfffafc391934f807d218fb0d6ccdc5d5a191ed7a8d9c31d3c5470cd66
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