How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="dqnguyen/Diabetic_Foot_Ulcer_Image_Classification")
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("dqnguyen/Diabetic_Foot_Ulcer_Image_Classification")
model = AutoModelForImageClassification.from_pretrained("dqnguyen/Diabetic_Foot_Ulcer_Image_Classification")
Quick Links

No model card

Downloads last month
128
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Spaces using dqnguyen/Diabetic_Foot_Ulcer_Image_Classification 2