How to use amaye15/aimv2-large-patch14-native-image-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True) pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True) model = AutoModelForImageClassification.from_pretrained("amaye15/aimv2-large-patch14-native-image-classification", trust_remote_code=True)
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