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Update README, bump version
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README.md

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@@ -27,7 +27,7 @@ I've included a few of my favourite models, but this is not an exhaustive collec
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* SENet-154, SE-ResNet-18, SE-ResNet-34, SE-ResNet-50, SE-ResNet-101, SE-ResNet-152, SE-ResNeXt-26 (32x4d), SE-ResNeXt50 (32x4d), SE-ResNeXt101 (32x4d)
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* Inception-ResNet-V2 and Inception-V4 (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch) )
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* Xception (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch))
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* PNasNet (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch))
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* PNasNet & NASNet-A (from [Cadene](https://github.com/Cadene/pretrained-models.pytorch))
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* DPN (from [me](https://github.com/rwightman/pytorch-dpn-pretrained), weights hosted by Cadene)
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* DPN-68, DPN-68b, DPN-92, DPN-98, DPN-131, DPN-107
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* Generic EfficientNet (from my standalone [GenMobileNet](https://github.com/rwightman/genmobilenet-pytorch)) - A generic model that implements many of the mobile optimized architecture search derived models that utilize similar DepthwiseSeparable and InvertedResidual blocks

timm/version.py

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__version__ = '0.1.6'
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__version__ = '0.1.7'

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