How to use vincentclaes/mit-indoor-scenes with Transformers:
# 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")
# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("vincentclaes/mit-indoor-scenes") model = AutoModelForImageClassification.from_pretrained("vincentclaes/mit-indoor-scenes", device_map="auto")
Fine tune google/vit-base-patch16-224-in21k on the data MIT Indoor Scenes
