from PIL import Image
import torch
from transformers import AutoImageProcessor, AutoModel

repo = "SevakGrigoryan/dinov2-large-plant-disease"
processor = AutoImageProcessor.from_pretrained(repo)
model = AutoModel.from_pretrained(repo, trust_remote_code=True).eval()

img = Image.open("leaf.jpg").convert("RGB")
inputs = processor(images=img, return_tensors="pt")
with torch.no_grad():
    logits = model(**inputs)["logits"]
print(model.config.id2label[int(logits.argmax(-1))])

Hosted inference (HF Inference Endpoints)

This repo ships a handler.py, so it is one-click deployable as a paid HF Inference Endpoint. The free serverless Inference API does not support custom architectures and will not work for this model.