Instructions to use pmpc/de_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use pmpc/de_pipeline with spaCy:
!pip install https://huggingface.co/pmpc/de_pipeline/resolve/main/de_pipeline-any-py3-none-any.whl # Using spacy.load(). import spacy nlp = spacy.load("de_pipeline") # Importing as module. import de_pipeline nlp = de_pipeline.load() - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bdae507c18dbdb00280f3c41fbb7ea6a07286162fd0973c7e2e1dabaddc64544
- Size of remote file:
- 437 MB
- SHA256:
- c3ad4097d99c3ffd7c2dd947c948a78c056bc1b0b743e24818a96b748a9644af
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