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google/vit-base-patch16-224transformers and datasets on a custom dataset hosted here1from transformers import AutoImageProcessor, ViTForImageClassification
2from PIL import Image
3import torch
4
5model = ViTForImageClassification.from_pretrained("jancarloonce/gecko-classifier-model")
6processor = AutoImageProcessor.from_pretrained("jancarloonce/gecko-classifier-model")
7
8image = Image.open("your_image.jpg")
9inputs = processor(images=image, return_tensors="pt")
10outputs = model(**inputs)
11pred = outputs.logits.argmax(-1).item()
12label = model.config.id2label[pred]
13print(f"Predicted: {label}")