Transformers How to use cesarali/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="cesarali/custom-resnet50d", trust_remote_code=True)
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("cesarali/custom-resnet50d", trust_remote_code=True)
model = AutoModelForImageClassification.from_pretrained("cesarali/custom-resnet50d", trust_remote_code=True, device_map="auto") 
