How to use bdsqlsz/Watermark-Detection-SigLIP2-onnx with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="bdsqlsz/Watermark-Detection-SigLIP2-onnx") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bdsqlsz/Watermark-Detection-SigLIP2-onnx", dtype="auto")
from https://huggingface.co/prithivMLmods/Watermark-Detection-SigLIP2
-
Base model
