FICHA · AUR
python-spacy-de_core_news_md
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 medium CPU-optimized spaCy model for balanced size and accuracy. Developers can tag, parse, lemmatize, segment sentences, and recognize entities in German text. It is model data for spaCy and may process sensitive text.
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