当我在google colab中执行vit模型时，我得到了一些错误。

import numpy as np
from datasets import Features, ClassLabel, Array3D

def preprocess_images(examples):
  images = examples['img']  
  images = [np.array(image, dtype=np.uint8) for image in images] 
  images = [np.moveaxis(image, source=-1, destination=0) for image in images] 
  inputs = feature_extractor(images=images) 
  examples['pixel_values'] = inputs['pixel_values'] 

  return examples 

features = Features({ 
  'label': ClassLabel(
      names=['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']), 
  'img': Array3D(dtype="int64", shape=(3,32,32)), 
  'pixel_values': Array3D(dtype="float32", shape=(3, 224, 224)), 
}) 

preprocessed_train_ds = train_ds.map(preprocess_images, batched=True, features=features) 
preprocessed_val_ds = val_ds.map(preprocess_images, batched=True, features=features) 
preprocessed_test_ds = test_ds.map(preprocess_images, batched=True, features=features)

ArrowTypeError：无法转换PngImageFile类型的〈PIL.PngImagePlugin.PngImageFile image mode=RGB size= 32 x32 at 0x 7 F2223 B6 ED 10〉：不是序列或识别为null，无法转换为列表类型
错误发生在preprocessed_train_ds这一行，我猜可能是特征提取问题。
使用：
1.抱抱脸/变形金刚

1. ViTFatureExtractor：谷歌/维生素C基础补丁16 -224-in 21 k
2. cifar 10，split=['train [：5000]'，'test[：2000]']）（与大多数示例设置一致）
   有人能帮帮我吗？这个问题已经困扰我很久了。