标签: amazon-sagemaker-studio

导入错误:使用 `low_cpu_mem_usage=True` 或 `device_map` 需要加速:`pip install Accelerate`

我尝试使用 HuggingFace Transformer 通过运行以下代码来创建管道(代码在 SageMaker Jupyter 实验室上运行):

pipeline = transformers.pipeline(
    "text-generation",
    model="meta-llama/Llama-2-7b-chat-hf",
    torch_dtype=torch.float16,
    device_map="auto",
)
Run Code Online (Sandbox Code Playgroud)

但是,它会生成以下错误:

ImportError: Using `low_cpu_mem_usage=True` or a `device_map` requires Accelerate: `pip install accelerate`
Run Code Online (Sandbox Code Playgroud)

参考:

Packages version:print(accelerate.__version__), print(transformers.__version__)
0.21.0
4.31.0
Run Code Online (Sandbox Code Playgroud)

accelerate huggingface-transformers amazon-sagemaker-studio

12
推荐指数
1
解决办法
2万
查看次数