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visheratin/nllb-clip-base-oc
nllb-clip-base-oc is a zero-shot image classification model from visheratin. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for open_clip. The card lists the license as cc-by-nc-4.0.
NLLB-CLIP is a model that combines a text encoder from the NLLB model and an image encoder from the standard CLIP. This allows us to extend the model capabilities to 201 languages of the Flores-200. NLLB-CLIP sets sta…
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From the Hugging Face model README
NLLB-CLIP is a model that combines a text encoder from the NLLB model and an image encoder from the standard CLIP. This allows us to extend the model capabilities to 201 languages of the Flores-200. NLLB-CLIP sets state-of-the-art on the Crossmodal-3600 dataset by performing very well on low-resource languages. You can find more details about the model in the paper.
I thank ML Collective for providing Google Cloud compute resources to train the OpenCLIP-compatible version of NLLB-CLIP.