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1from transformers import AutoTokenizer, AutoModelForCausalLM
2
3tokenizer = AutoTokenizer.from_pretrained("jahidhasan/os-reasoning-model")
4model = AutoModelForCausalLM.from_pretrained("jahidhasan/os-reasoning-model")
5
6# Generate reasoning
7question = "What is a deadlock in operating systems?"
8prompt = f"Question: {question}\nReasoning:"
9
10inputs = tokenizer(prompt, return_tensors="pt")
11outputs = model.generate(**inputs, max_length=200, temperature=0.7)
12response = tokenizer.decode(outputs[0], skip_special_tokens=True)
13print(response)1@misc{os-reasoning-model,
2 author = {Jahid Hasan},
3 title = {Operating System Reasoning Model},
4 year = {2025},
5 publisher = {Hugging Face},
6 howpublished = {\url{https://huggingface.co/jahidhasan/os-reasoning-model}}
7}