Instructions to use deepin-tech/fr_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use deepin-tech/fr_pipeline with spaCy:
!pip install https://huggingface.co/deepin-tech/fr_pipeline/resolve/main/fr_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("fr_pipeline") # Importing as module. import fr_pipeline nlp = fr_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7152795f353c913873d17f3f4c6484dd49cff604bafc7cf49394f5f411e2a03e
- Size of remote file:
- 6.5 MB
- SHA256:
- 80ddab6bed0e3b6e6edc4e4d6c40586fd3d9c8b5e766075872c4878deb80e62e
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