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 tokenizer from deepin-tech/fr_pipeline: direct link, hf CLI and curl.
- Browser
- Download file 1.52 MB
-
https://huggingface.co/deepin-tech/fr_pipeline/resolve/main/tokenizer
- Command line
-
hf download hf://deepin-tech/fr_pipeline/tokenizer
-
curl -L -o tokenizer https://huggingface.co/deepin-tech/fr_pipeline/resolve/main/tokenizer
1.52 MB
File too large to display, you can check the raw version instead.