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1from transformers import AutoModelForCausalLM, AutoTokenizer
2from peft import PeftModel
3
4base = AutoModelForCausalLM.from_pretrained("AI-Sweden-Models/gpt-sw3-356m", torch_dtype="auto")
5model = PeftModel.from_pretrained(base, "{repo}")
6
7tokenizer = AutoTokenizer.from_pretrained("AI-Sweden-Models/gpt-sw3-356m")
8
9prompt = "Íslenska er"
10inputs = tokenizer(prompt, return_tensors="pt")
11output = model.generate(**inputs, max_new_tokens=60, temperature=0.8, do_sample=True)
12print(tokenizer.decode(output[0], skip_special_tokens=True))1@article{fakhar2025saga,
2 title={SAGA: Syntax-Aware Grammar Alignment for Low-Resource Nordic Languages},
3 author={Fakhar, Hoda and others},
4 year={2025},
5 note={Under review}
6}