| ```python | |
| from optimum.neuron import NeuronModelForCausalLM | |
| from transformers import AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| tokenizer.pad_token_id = tokenizer.eos_token_id if tokenizer.pad_token_id is None else tokenizer.pad_token_id | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs,max_new_tokens=max_new_tokens,do_sample=True,use_cache=True,temperature=0.7,top_k=50,top_p=0.9) | |
| outputs = outputs[0, inputs.input_ids.size(-1):] | |
| response = tokenizer.decode(outputs, skip_special_tokens=True) |