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:
- a924cdfacae6b6908cd8dd7ab48927a11abe0283f02fa83f15f03e4a8cb68c23
- Size of remote file:
- 3.71 MB
- SHA256:
- d86b69082b9fecbfd8758d8e511f12b6579dc3c398b728ea5526a08cbeb0c73c
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