# Use a pipeline as a high-level helperfrom transformers import pipeline
pipe = pipeline("image-classification", model="magicslabnu/gate_vit_small_patch16_224_hf", trust_remote_code=True)
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directlyfrom transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("magicslabnu/gate_vit_small_patch16_224_hf", trust_remote_code=True)
model = AutoModelForImageClassification.from_pretrained("magicslabnu/gate_vit_small_patch16_224_hf", trust_remote_code=True)
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="magicslabnu/gate_vit_small_patch16_224_hf", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")