Transformers How to use cringgaard/ResNet18_Designer_baseline with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="cringgaard/ResNet18_Designer_baseline")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("cringgaard/ResNet18_Designer_baseline")
model = AutoModelForImageClassification.from_pretrained("cringgaard/ResNet18_Designer_baseline", device_map="auto") 
