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)