FICHA · AUR
python-spacy-de_core_news_sm
German pipeline optimized for CPU. Components: tok2vec, tagger, morphologizer, parser, lemmatizer (trainable_lemmatizer), senter, ner.
- spaCy language model
- MODEL
- LIBRARY
- Dependency only
· official+codex · reviewed · Jun 3, 2026 description in en
German NLP pipelines gain a small CPU-optimized spaCy model for lighter deployments. Developers can run common tagging, parsing, lemmatization, sentence segmentation, and entity-recognition tasks on German text with lower resource use. It is model data for spaCy and may process sensitive text.
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