How to use aehrm/moderngbert-redewiedergabe with PEFT:
from peft import PeftModel from transformers import AutoModelForTokenClassification base_model = AutoModelForTokenClassification.from_pretrained("LSX-UniWue/ModernGBERT_1B") model = PeftModel.from_pretrained(base_model, "aehrm/moderngbert-redewiedergabe")
How to use aehrm/moderngbert-redewiedergabe with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="aehrm/moderngbert-redewiedergabe")
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("aehrm/moderngbert-redewiedergabe", device_map="auto")
https://huggingface.co/aehrm/moderngbert-redewiedergabe/resolve/main/tokenizer.json
hf download hf://aehrm/moderngbert-redewiedergabe/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/aehrm/moderngbert-redewiedergabe/resolve/main/tokenizer.json
