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Pavel Iakubovskii

qubvel-hf
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Super happy to welcome Nvidia as our latest enterprise hub customer. They have almost 2,000 team members using Hugging Face, and close to 20,000 followers of their org. Can't wait to see what they'll open-source for all of us in the coming months!

Nvidia's org: https://huggingface.co/nvidia
Enterprise hub: https://huggingface.co/enterprise
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qubvel-hf
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SigLip2 Does Not Reproduce Expected Results

3
#7 opened 21 days ago by
dogukan-bg
commented on SigLIP 2: A better multilingual vision language encoder 19 days ago
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btw, also observed "." and capitalized template influences the confidence quite a bit
commented on SigLIP 2: A better multilingual vision language encoder 19 days ago
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Not sure what's up as I'm not familiar with this codebase (and no time to dig in), but for siglip what you're supposed to do is do sigmoid(zimg @ ztxt * temperature + bias)

from what you describe, I would bet the bias and/or temperature are missing?
The ground-truth reference code is https://colab.research.google.com/github/google-research/big_vision/blob/main/big_vision/configs/proj/image_text/SigLIP2_demo.ipynb

Hey @giffmana , temperature and bias are applied under the hood, see

Siglip
https://github.com/huggingface/transformers/blob/17792556b21b4da0dbb9e4b59b39fb34aae4047c/src/transformers/models/siglip/modeling_siglip.py#L1411-L1417

Siglip2
https://github.com/huggingface/transformers/blob/17792556b21b4da0dbb9e4b59b39fb34aae4047c/src/transformers/models/siglip2/modeling_siglip2.py#L1459-L1465