Instructions to use Doener48/de_pipeline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- spaCy
How to use Doener48/de_pipeline with spaCy:
!pip install https://huggingface.co/Doener48/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:
- a9b13120f8157798a42af4f402760b7c59908920d29bc7875eac00b4a790d555
- Size of remote file:
- 34.4 MB
- SHA256:
- fd62a1a7fd53ac1cf1b51204190959377f7acbe091f6103de948636dbb0eb010
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