How to use sdjlkfsdjsfjdl/vit-beans-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="sdjlkfsdjsfjdl/vit-beans-demo") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("sdjlkfsdjsfjdl/vit-beans-demo") model = AutoModelForImageClassification.from_pretrained("sdjlkfsdjsfjdl/vit-beans-demo", device_map="auto")
https://huggingface.co/sdjlkfsdjsfjdl/vit-beans-demo/resolve/main/angular_leaf_spot.jpeg
hf download hf://sdjlkfsdjsfjdl/vit-beans-demo/angular_leaf_spot.jpeg
curl -L -o angular_leaf_spot.jpeg https://huggingface.co/sdjlkfsdjsfjdl/vit-beans-demo/resolve/main/angular_leaf_spot.jpeg
