Downloads · 30 days
0
uhhlt/droc-singletons
droc-singletons is a machine learning model from uhhlt. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is the Maverick corefernce model trained with German literary texts (specifically DROC).
Downloads · 30 days
0
Access
Public
Updated Sep 23, 2025
Repo size
10.6 GB
Likes
1
Public
Click a slice to open those files.
.pth5.3 GB · 100%
From the Hugging Face model README
This is the Maverick corefernce model trained with German literary texts (specifically DROC).
To use it install pip install maverick-coref-de
Now running the model is as easy as:
from maverick_de import Maverick
model = Maverick(
hf_name_or_path="uhhlt/droc-singletons",
device="cuda",
)
print(model.predict("Es war einmal eine kleine süße Dirne, die hatte jedermann lieb, der sie nur ansah, am allerliebsten aber ihre Großmutter, die wußte gar nicht, was sie alles dem Kinde geben sollte."))
If you make use of this model in your work we would love for you to cite our paper:
@inproceedings{petersen-frey-etal-2025-efficient,
title = "Efficient and Effective Coreference Resolution for {G}erman",
author = "Petersen-Frey, Fynn and
Hatzel, Hans Ole and
Biemann, Chris",
editor = "Wartena, Christian and
Heid, Ulrich",
booktitle = "Proceedings of the 21st Conference on Natural Language Processing (KONVENS 2025): Long and Short Papers",
month = sep,
year = "2025",
address = "Hannover, Germany",
publisher = "HsH Applied Academics",
url = "https://aclanthology.org/2025.konvens-1.12/",
pages = "128--137"
}