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- # RegNet
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- RegNet model trained on imagenet1k. It was introduced in the paper [Self-supervised Pretraining of Visual Features in the Wild](https://arxiv.org/abs/2103.01988) and first released in [this repository](https://github.com/facebookresearch/vissl/tree/main/projects/SEER).
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- Disclaimer: The team releasing RegNet did not write a model card for this model so this model card has been written by the Hugging Face team.
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- ## Model description
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  This gigantic model is a scale up [RegNetY](https://arxiv.org/abs/2003.13678) model trained on one bilion random images ad later finetuned on imagenet.
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- ![model image](https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/regnet_architecture.png)
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  ## Intended uses & limitations
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+ ## RegNetY 10B
 
 
 
 
 
 
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  This gigantic model is a scale up [RegNetY](https://arxiv.org/abs/2003.13678) model trained on one bilion random images ad later finetuned on imagenet.
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+ Disclaimer: The team releasing RegNet did not write a model card for this model so this model card has been written by the Hugging Face team.
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  ## Intended uses & limitations
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