Zero-Shot Image Classification
Transformers
Safetensors
siglip
vision
Inference Endpoints
alvarobartt HF staff commited on
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1 Parent(s): d04cf29

Fix resolution in Preprocessing subsection

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@@ -86,7 +86,7 @@ SigLIP is pre-trained on the WebLI dataset [(Chen et al., 2023)](https://arxiv.o
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  ### Preprocessing
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- Images are resized/rescaled to the same resolution (384x384) and normalized across the RGB channels with mean (0.5, 0.5, 0.5) and standard deviation (0.5, 0.5, 0.5).
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  Texts are tokenized and padded to the same length (64 tokens).
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  ### Preprocessing
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+ Images are resized/rescaled to the same resolution (224x224) and normalized across the RGB channels with mean (0.5, 0.5, 0.5) and standard deviation (0.5, 0.5, 0.5).
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  Texts are tokenized and padded to the same length (64 tokens).
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