Downloads · 30 days
40
0% of all-time downloads
KoichiYasuoka/bert-base-german-upos
bert-base-german-upos is a token classification model from KoichiYasuoka. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as mit.
This is a BERT model pre-trained with UDGerman-HDT for POS-tagging and dependency-parsing, derived from gbert-base. Every word is tagged by UPOS (Universal Part-Of-Speech).
Downloads · 30 days
40
0% of all-time downloads
All-time downloads
69.2K
Public
Repo size
2.9 GB
Likes
1
Public
Click a slice to open those files.
.model516 MB · 54%
From the Hugging Face model README
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).
from transformers import AutoTokenizer,AutoModelForTokenClassification
tokenizer=AutoTokenizer.from_pretrained("KoichiYasuoka/bert-base-german-upos")
model=AutoModelForTokenClassification.from_pretrained("KoichiYasuoka/bert-base-german-upos")
or
import esupar
nlp=esupar.load("KoichiYasuoka/bert-base-german-upos")
esupar: Tokenizer POS-tagger and Dependency-parser with BERT/RoBERTa/DeBERTa models