Instructions to use vsalamand/fr_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use vsalamand/fr_pipeline with spaCy:
!pip install https://huggingface.co/vsalamand/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:
- 4daee49dcd75a3b17e2c045fca61e0132ae9c05f01e9a98fd0e71f128a79c2e0
- Size of remote file:
- 4.44 MB
- SHA256:
- 795d1b0fa3b3ce7ff870c78ddc299c338bbcc6c18e6a28c077448e67efb4cfe0
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