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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model_id = "dvr76/ticket-triage-qwen3"
4tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
5model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto", device_map="auto", trust_remote_code=True)
6
7messages = [
8 {"role": "system", "content": "You are a property maintenance ticket triage system. Respond with ONLY valid JSON."},
9 {"role": "user", "content": "kitchen sink tap water is leaking from yesterday morning"},
10]
11
12text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
13inputs = tokenizer(text, return_tensors="pt").to(model.device)
14output = model.generate(**inputs, max_new_tokens=512, do_sample=False)
15print(tokenizer.decode(output[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))1{
2 "is_maintenance_request": true,
3 "issues": [{"category": "", "sub_category": "", "location": "", "urgency": ""}],
4 "vendor_type": "",
5 "entry_required": true
6}