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--- |
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tags: |
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- clip |
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library_name: open_clip |
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pipeline_tag: zero-shot-image-classification |
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license: cc-by-nc-4.0 |
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datasets: |
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- visheratin/laion-coco-nllb |
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--- |
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## Model Summary |
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NLLB-CLIP is a model that combines a text encoder from the [NLLB model](https://huggingface.co/facebook/nllb-200-distilled-600M) and an image encoder from the |
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standard [CLIP](https://huggingface.co/openai/clip-vit-base-patch32). This allows us to extend the model capabilities |
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to 201 languages of the Flores-200. NLLB-CLIP sets state-of-the-art on the [Crossmodal-3600](https://google.github.io/crossmodal-3600/) dataset by performing very |
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well on low-resource languages. You can find more details about the model in the [paper](https://arxiv.org/abs/2309.01859). |
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## Acknowledgements |
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I thank [ML Collective](https://mlcollective.org/) for providing Google Cloud compute resources to train the OpenCLIP-compatible version of NLLB-CLIP. |
