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This demo uses CLIP-mBART50 model checkpoint to predict caption for a given image in 4 languages (English, French, German, Spanish). Training was done using image encoder (CLIP-ViT) and text decoder (mBART50) with approximately 5 million image-text pairs taken from the Conceptual 12M dataset translated using MarianMT.
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