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
Download tagger/model from deepin-tech/fr_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 3.72 MB
-
https://huggingface.co/deepin-tech/fr_pipeline/resolve/main/tagger/model
- Command line
-
hf download hf://deepin-tech/fr_pipeline/tagger/model
-
curl -L -o model https://huggingface.co/deepin-tech/fr_pipeline/resolve/main/tagger/model
3.72 MB
- Xet hash:
- e367a1a76fe3932d9fffd19b9a6feb45208fdfa198c7fad8c4a679d4b5c1ef2b
- Size of remote file:
- 3.72 MB
- SHA256:
- 0fa81343501835afd2784186e6156f7b82e1da77ed6c93e46c1eaa628d2b5a35
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