在mindnlp的mindnlp.transformers.AutoModelForObjectDetection.from_pretrained方法中无法识别conditional_detr，无法加载

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Describe the bug/ 问题描述 (Mandatory / 必填)

在mindnlp的mindnlp.transformers.AutoModelForObjectDetection.from_pretrained方法中无法识别conditional_detr

• Hardware Environment(`cpu ) / 硬件环境:

• Software Environment / 软件环境 (Mandatory / 必填):
  -- MindSpore version (2.5.0) :
  -- mindnlp version 0.4.0
  -- Python version (e.g., Python 3.9) :
  -- OS platform and distribution (e.g., Linux Ubuntu 24.04):

To Reproduce / 重现步骤 (Mandatory / 必填)
复现错误

import matplotlib.pyplot as plt
import mindspore
from mindspore import Tensor, ops
from mindnlp.transformers import AutoImageProcessor, AutoModelForObjectDetection
from PIL import Image
import requests

# set the device to GPU if available
mindspore.set_device(device_target="GPU" if mindspore.context.get_context("device_target") == "GPU" else "CPU")

url = "http://images.cocodataset.org/val2017/000000039769.jpg"
image = Image.open(requests.get(url, stream=True).raw)

# need to use a compatible image processor
image_processor = AutoImageProcessor.from_pretrained("./microsoft/conditional-detr-resnet-50")

# need to use a compatible model for object detection
model = AutoModelForObjectDetection.from_pretrained("./microsoft/conditional-detr-resnet-50")

Expected behavior / 预期结果 (Mandatory / 必填)
A clear and concise description of what you expected to happen.
希望可以正常的加载模型并且去做finetune

Screenshots/ 日志 / 截图 (Mandatory / 必填)
If applicable, add screenshots to help explain your problem.