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1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3tokenizer = AutoTokenizer.from_pretrained("mustafakemal0146/kemu-gpt")
4model = AutoModelForCausalLM.from_pretrained("mustafakemal0146/kemu-gpt")
5
6# Generate text
7prompt = "Merhaba, nasılsın?"
8inputs = tokenizer(prompt, return_tensors="pt")
9outputs = model.generate(**inputs, max_length=100)
10response = tokenizer.decode(outputs[0], skip_special_tokens=True)
11print(response)1@misc{kemu-gpt,
2 title={KEMU-GPT: A Fine-tuned English Language Model},
3 author={Mustafa Kemal Çıngıl},
4 year={2025},
5 url={https://huggingface.co/mustafakemal0146/kemu-gpt}
6}