# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("saeub/bert-stage")
model = AutoModelForTokenClassification.from_pretrained("saeub/bert-stage")Quick Links
Statement Segmentation in German Easy Language (StaGE) submission
This model is our submission to the StaGE shared task at KONVENS 2024 under the team name StaGE FriGHt. It is based on bert-base-multilingual-cased and fine-tuned for binary classification of statement span heads. The training data can be accessed here.
For more information, refer to the corresponding GitHub repository, the paper about our submission (to be published) and the overview paper (to be published).
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="saeub/bert-stage")