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1from transformers import AutoModelForCausalLM, AutoTokenizer
2import torch
3
4model_name = "MD-Mushfiqur123/BrewPilot-1.0"
5tokenizer = AutoTokenizer.from_pretrained(model_name)
6model = AutoModelForCausalLM.from_pretrained(model_name, dtype=torch.float16, device_map="auto")
7
8messages = [{"role": "user", "content": [{"type": "text", "text": "তোমার নাম কি?"}]}]
9inputs = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt", return_dict=True).to(model.device)
10output = model.generate(**inputs, max_new_tokens=200)
11print(tokenizer.decode(output[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))