Instructions to use jdoerfler/SpaCy-tl_dep_web_sm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use jdoerfler/SpaCy-tl_dep_web_sm with spaCy:
!pip install https://huggingface.co/jdoerfler/SpaCy-tl_dep_web_sm/resolve/main/SpaCy-tl_dep_web_sm-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("SpaCy-tl_dep_web_sm") # Importing as module. import SpaCy-tl_dep_web_sm nlp = SpaCy-tl_dep_web_sm.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ac2661fce6aca74b3bf5e50ca148f0ccc0d1cee13745381cbb9da0d8a76f5e0
- Size of remote file:
- 4.05 MB
- SHA256:
- 35ddb8ba65fd713c3a3f90cf685a88cc5d0f352b4085b08f2d448643f07f5da5
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