Instructions to use jdoerfler/SpaCy-id_dep_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jdoerfler/SpaCy-id_dep_web_sm with spaCy:
!pip install https://huggingface.co/jdoerfler/SpaCy-id_dep_web_sm/resolve/main/SpaCy-id_dep_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("SpaCy-id_dep_web_sm") # Importing as module. import SpaCy-id_dep_web_sm nlp = SpaCy-id_dep_web_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ca1e46d67867c8bb38f48355f88f28e53b12882b15a23c59f49edcb2a81caaa
- Size of remote file:
- 4.06 MB
- SHA256:
- 2c16dc51e30be89c6663f8c2b43e372967059b1be1219cae1695beb6ff1eccd5
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