Instructions to use jdoerfler/SpaCy-ar_dep_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jdoerfler/SpaCy-ar_dep_web_sm with spaCy:
!pip install https://huggingface.co/jdoerfler/SpaCy-ar_dep_web_sm/resolve/main/SpaCy-ar_dep_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("SpaCy-ar_dep_web_sm") # Importing as module. import SpaCy-ar_dep_web_sm nlp = SpaCy-ar_dep_web_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46276bf5c776ceef0fcba4d346f6c25dd8fb267dda9799b4d902955b69d6db85
- Size of remote file:
- 4.04 MB
- SHA256:
- 6ffafe468fa7fb4264aa2baf07102a656d8b6beb7d3a15adf5d7ebe3c0c976eb
ยท
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