--- language: - "de" tags: - "german" - "token-classification" - "pos" - "dependency-parsing" datasets: - "universal_dependencies" license: "mit" pipeline_tag: "token-classification" --- # bert-base-german-upos ## Model Description This is a RoBERTa model pre-trained with [UD_German-HDT](https://github.com/UniversalDependencies/UD_German-HDT) for POS-tagging and dependency-parsing, derived from [bert-base-german-cased](https://huggingface.co/bert-base-german-cased). Every word is tagged by [UPOS](https://universaldependencies.org/u/pos/) (Universal Part-Of-Speech). ## How to Use ```py from transformers import AutoTokenizer,AutoModelForTokenClassification tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-german-upos") model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-german-upos") ``` or ```py import esupar nlp=esupar.load("KoichiYasuoka/bert-base-german-upos") ``` ## See Also [esupar](https://github.com/KoichiYasuoka/esupar): Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa models