prithivMLmods

/

Guard-Against-Unsafe-Content2-Siglip2

like 3

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="prithivMLmods/Guard-Against-Unsafe-Content2-Siglip2")
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("prithivMLmods/Guard-Against-Unsafe-Content2-Siglip2")
model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Guard-Against-Unsafe-Content2-Siglip2", device_map="auto")