from urllib.request import urlopen
from PIL import Image
import timm

img = Image.open(urlopen(
'https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/beignets-task-guide.png'
))

model = timm.create_model(
'resnet18.a1_in1k',
pretrained=True,
features_only=True,
)
model = model.eval()

get model specific transforms (normalization, resize)

data_config = timm.data.resolve_model_data_config(model)
transforms = timm.data.create_transform(**data_config, is_training=False)

output = model(transforms(img).unsqueeze(0)) # unsqueeze single image into batch of 1

for o in output:
# print shape of each feature map in output
# e.g.:
# torch.Size([1, 64, 112, 112])
# torch.Size([1, 64, 56, 56])
# torch.Size([1, 128, 28, 28])
# torch.Size([1, 256, 14, 14])
# torch.Size([1, 512, 7, 7])

print(o.shape)

This code Why is this happening？
Traceback (most recent call last):
File "G:\Graduation_Project\Domain_Generalization_through_Distilling_CLIP\RISE-main\resnet18.py", line 12, in
features_only=True,
File "G:\Graduation_Project\Domain_Generalization_through_Distilling_CLIP\RISE-main\timm\models_factory.py", line 110, in create_model
raise RuntimeError('Unknown model (%s)' % model_name)
RuntimeError: Unknown model (resnet18)