
# bert-base-german-upos

## Model Description

This is a BERT model pre-trained with [UD_German-HDT](https://github.com/UniversalDependencies/UD_German-HDT) for POS-tagging and dependency-parsing, derived from [gbert-base](https://huggingface.co/deepset/gbert-base). 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/DeBERTa models


{"language": ["de"], "license": "mit", "tags": ["german", "token-classification", "pos", "dependency-parsing"], "datasets": ["universal_dependencies"], "pipeline_tag": "token-classification"}
transformers pytorch bert token-classification german pos dependency-parsing de dataset:universal_dependencies license:mit autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #token-classification #german #pos #dependency-parsing #de #dataset-universal_dependencies #license-mit #autotrain_compatible #endpoints_compatible #region-us 


# bert-base-german-upos

## Model Description

This is a BERT model pre-trained with UD_German-HDT for POS-tagging and dependency-parsing, derived from gbert-base. Every word is tagged by UPOS (Universal Part-Of-Speech).

## How to Use



or



## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models


# bert-base-german-upos ## Model Description

This is a BERT model pre-trained with UD_German-HDT for POS-tagging and dependency-parsing, derived from gbert-base. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
TAGS
#transformers #pytorch #bert #token-classification #german #pos #dependency-parsing #de #dataset-universal_dependencies #license-mit #autotrain_compatible #endpoints_compatible #region-us 
 # bert-base-german-upos ## Model Description

This is a BERT model pre-trained with UD_German-HDT for POS-tagging and dependency-parsing, derived from gbert-base. Every word is tagged by UPOS (Universal Part-Of-Speech). ## How to Use



or ## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models
passage: TAGS
#transformers #pytorch #bert #token-classification #german #pos #dependency-parsing #de #dataset-universal_dependencies #license-mit #autotrain_compatible #endpoints_compatible #region-us 
# bert-base-german-upos## Model Description

This is a BERT model pre-trained with UD_German-HDT for POS-tagging and dependency-parsing, derived from gbert-base. Every word is tagged by UPOS (Universal Part-Of-Speech).## How to Use



or## See Also

esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models