Instructions to use jdoerfler/SpaCy-fa_dep_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jdoerfler/SpaCy-fa_dep_web_sm with spaCy:
!pip install https://huggingface.co/jdoerfler/SpaCy-fa_dep_web_sm/resolve/main/SpaCy-fa_dep_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("SpaCy-fa_dep_web_sm") # Importing as module. import SpaCy-fa_dep_web_sm nlp = SpaCy-fa_dep_web_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c4309e0430132221cf4f44349b00e150f9907490d863a89875cf6d140acd7345
- Size of remote file:
- 4.06 MB
- SHA256:
- c9a84f777da8fb1f0105fcfa8505f095f7a688ea2df18cc9c967f7de9cbb50ba
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