How to use Dadigua12581/custom-resnet50d with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dadigua12581/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 AutoModelForImageClassification model = AutoModelForImageClassification.from_pretrained("Dadigua12581/custom-resnet50d", trust_remote_code=True, device_map="auto")
How to use Dadigua12581/custom-resnet50d with timm:
import timm model = timm.create_model("hf-hub:Dadigua12581/custom-resnet50d", pretrained=True)
