| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| import torch | |
| base_model = "microsoft/phi-2" | |
| tokenizer = AutoTokenizer.from_pretrained(base_model) | |
| model = AutoModelForCausalLM.from_pretrained(base_model, torch_dtype=torch.float16, low_cpu_mem_usage=True) | |
| prompt = "User: Hello! Who are you?\nAI:" | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=60) | |
| print(tokenizer.decode(outputs[0], skip_special_tokens=True)) | |