多张GPU卡

from transformers import pipeline

from accelerate import init_empty_weights, infer_auto_device_map

from transformers import AutoModelForCausalLM, AutoTokenizer

初始化加速器

from accelerate import Accelerator

accelerator = Accelerator()

加载模型和 tokenizer

tokenizer = AutoTokenizer.from_pretrained("/app/model/")

model = AutoModelForCausalLM.from_pretrained("/app/model/")

将模型分布到多张 GPU 上

device_map = infer_auto_device_map(model, max_memory={0: "16GB", 1: "16GB", 2: "16GB", 3: "16GB", 4: "16GB", 5: "16GB", 6: "16GB", 7: "16GB"})

将模型加载到设备上

model = model.from_pretrained("/app/model/", device_map=device_map)

使用 pipeline

generator = pipeline("text-generation", model=model, tokenizer=tokenizer, device_map=device_map)

进行推理

output = generator("Your input text", max_length=30)

print(output)