How to use ahishamm/vit-base-binary-isic-patch-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ahishamm/vit-base-binary-isic-patch-32", device_map="auto") 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("ahishamm/vit-base-binary-isic-patch-32") model = AutoModelForImageClassification.from_pretrained("ahishamm/vit-base-binary-isic-patch-32", device_map="auto")
