# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("vincentclaes/mit-indoor-scenes")
model = AutoModelForImageClassification.from_pretrained("vincentclaes/mit-indoor-scenes")Quick Links
MIT Indoor Scenes
Fine tune google/vit-base-patch16-224-in21k on the data MIT Indoor Scenes
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="vincentclaes/mit-indoor-scenes") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")