tum-nlp/neural-news-benchmark
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How to use tum-nlp/neural-news-discriminator-BERT-tr with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="tum-nlp/neural-news-discriminator-BERT-tr") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tum-nlp/neural-news-discriminator-BERT-tr")
model = AutoModelForSequenceClassification.from_pretrained("tum-nlp/neural-news-discriminator-BERT-tr", device_map="auto")Trained on the Turkish news data from: https://huggingface.co/datasets/tum-nlp/neural_news
https://huggingface.co/google-bert/bert-base-multilingual-cased
See below for accuracy metrics:

@article{uyuk2024crafting,
title={Crafting Tomorrow's Headlines: Neural News Generation and Detection in English, Turkish, Hungarian, and Persian},
author={{\"U}y{\"u}k, Cem and Rov{\'o}, Danica and Kolli, Shaghayegh and Varol, Rabia and Groh, Georg and Dementieva, Daryna},
journal={arXiv preprint arXiv:2408.10724},
year={2024}
}