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visheratin/nllb-clip-large-siglip

Zero Shot Image Classification·visheratin· 1.6K· 9
open_clip cc-by-nc-4.0 Zero Shot Image Classification dataset:visheratin/laion-coco-nllbarxiv:2309.01859license:cc-by-nc-4.0region:us

NLLB-CLIP-SigLIP is a model that combines a text encoder from the NLLB model and an image encoder from the SigLIP model. 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.

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# pull & run locally
pip install mlforge-sdk && mlforge pull visheratin/nllb-clip-large-siglip

Model details

Task
Zero Shot Image Classification
Provider
visheratin
Framework
open_clip
Size
18 GB
License
cc-by-nc-4.0
Downloads
1.6K
Likes
9
Paper
arXiv:2309.01859
Updated
2025-03-02

About visheratin/nllb-clip-large-siglip

NLLB-CLIP-SigLIP is a model that combines a text encoder from the NLLB model and an image encoder from the SigLIP model. 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.

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