Text Classification
Transformers
Safetensors
German
modernbert
GermEval
2025
HarmfulContentDetection
HateSpeech
ClassImbalance
ClassWeightedLoss
FocalLoss
German
SocialMedia
Twitter
University-of-Regensburg
ModernGBERT
DemocraticBasicOrder
MultiClass
Eval Results (legacy)
text-embeddings-inference
Instructions to use abullard1/germeval2025-dbo-moderngbert-cw_and_focal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use abullard1/germeval2025-dbo-moderngbert-cw_and_focal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="abullard1/germeval2025-dbo-moderngbert-cw_and_focal")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("abullard1/germeval2025-dbo-moderngbert-cw_and_focal") model = AutoModelForSequenceClassification.from_pretrained("abullard1/germeval2025-dbo-moderngbert-cw_and_focal") - Notebooks
- Google Colab
- Kaggle
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