chunked/nltk_chunking/_create_a_model/chunk_65.txt

For example, create a default [ViTImageProcessor] if you are using ViT for image classification:

from transformers import ViTImageProcessor
vit_extractor = ViTImageProcessor()
print(vit_extractor)
ViTImageProcessor {
  "do_normalize": true,
  "do_resize": true,
  "image_processor_type": "ViTImageProcessor",
  "image_mean": [
    0.5,
    0.5,
    0.5
  ],
  "image_std": [
    0.5,
    0.5,
    0.5
  ],
  "resample": 2,
  "size": 224
}

If you aren't looking for any customization, just use the from_pretrained method to load a model's default image processor parameters.