FICHA · AUR
python-spacy-de_core_news_lg
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 large CPU-optimized spaCy model with tagging, morphology, parsing, sentence segmentation, lemmatization, and named-entity recognition. Developers can analyze German documents without training a base model first. It is model data for spaCy and may process sensitive text.
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