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hfdocs/source/models.mdx

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@@ -78,14 +78,14 @@ A more exciting view (with pretty pictures) of the models within `timm` can be f
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## NASNet-A
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* Implementation: [nasnet.py](https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/nasnet.py)
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* Papers: `Learning Transferable Architectures for Scalable Image Recognition` - https://arxiv.org/abs/1707.07012
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* Paper: `Learning Transferable Architectures for Scalable Image Recognition` - https://arxiv.org/abs/1707.07012
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* Code: https://github.com/Cadene/pretrained-models.pytorch
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* Reference code: https://github.com/tensorflow/models/tree/master/research/slim/nets/nasnet
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## PNasNet-5
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* Implementation: [pnasnet.py](https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/pnasnet.py)
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* Papers: `Progressive Neural Architecture Search` - https://arxiv.org/abs/1712.00559
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* Paper: `Progressive Neural Architecture Search` - https://arxiv.org/abs/1712.00559
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* Code: https://github.com/Cadene/pretrained-models.pytorch
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* Reference code: https://github.com/tensorflow/models/tree/master/research/slim/nets/nasnet
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