How to use RationAI/vit-patch16-224-prostate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="RationAI/vit-patch16-224-prostate") 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("RationAI/vit-patch16-224-prostate") model = AutoModelForImageClassification.from_pretrained("RationAI/vit-patch16-224-prostate")
model = ViTForImageClassification.from_pretrained("RationAI/vit-patch16-224-prostate") processor = ViTImageProcessor.from_pretrained("RationAI/vit-patch16-224-prostate")
Files info
Base model
