| ```python | |
| from optimum.neuron import NeuronModelForCausalLM | |
| from transformers import AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") | |
| tokenizer.pad_token_id = tokenizer.eos_token_id if tokenizer.pad_token_id is None else tokenizer.pad_token_id | |
| model = NeuronModelForCausalLM.from_pretrained("yahavb/Mistral-7B-Instruct-v0-3-neuron", use_cache=True) | |
| inputs = tokenizer("how is the weather in paris", return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=50, 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) | |
| print(response) | |
| ``` |