Instructions to use YousraBerrachedi/fr_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use YousraBerrachedi/fr_pipeline with spaCy:
!pip install https://huggingface.co/YousraBerrachedi/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:
- 0c781f8611bbe31d3afaf711f863ac2d7f4b0c87c93528f6f264518b49947e48
- Size of remote file:
- 6.01 MB
- SHA256:
- d2d83c3558f3566e623404867ced97b8653c62a7937e4e2fb824cb64ecc02821
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