| import torch | |
| from optimum.neuron import NeuronModelForCausalLM | |
| from transformers import AutoTokenizer | |
| model_id="deepseek-ai/DeepSeek-R1-Distill-Llama-70B" | |
| prompt="Who are you? what is the model that powers you?" | |
| 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") | |
| model = NeuronModelForCausalLM.from_pretrained("yahavb/DeepSeek-R1-Distill-Llama-70B-Neuron") | |
| for i in range(10): | |
| outputs = model.generate(**inputs,max_new_tokens=512,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) |