daking

/

custom-resnet50d

like 0

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="daking/custom-resnet50d", trust_remote_code=True)
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("daking/custom-resnet50d", trust_remote_code=True)
model = AutoModelForImageClassification.from_pretrained("daking/custom-resnet50d", trust_remote_code=True)