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@@ -2780,7 +2780,7 @@
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{
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"type": "keras",
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"target": "tecogan_model.h5",
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- "source": "https://nnabla.org/pretrained-models/nnabla-examples/GANs/tecogan/tecogan_model.h5",
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+ "source": "https://github.com/user-attachments/files/24350408/tecogan_model.h5.zip[tecogan_model.h5]",
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"format": "HDF5 Weights",
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"link": "https://github.com/sony/nnabla-examples/issues/192"
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},
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@@ -4051,48 +4051,27 @@
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"format": "ncnn",
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"link": "https://github.com/Tencent/ncnn"
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},
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- {
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- "type": "nnabla",
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- "target": "Resnet-18.nnp",
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- "source": "https://nnabla.org/pretrained-models/nnp_models/imagenet/Resnet-18/Resnet-18.nnp",
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- "format": "NNabla v0.1",
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- "link": "https://nnabla.readthedocs.io/en/latest/python/api/models/imagenet.html"
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- },
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{
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"type": "nnabla",
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"target": "MobileNet-v2.nnp",
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- "source": "https://nnabla.org/pretrained-models/nnp_models/imagenet/MobileNet-v2/MobileNet-v2.nnp",
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+ "source": "https://github.com/user-attachments/files/24350428/MobileNet-v2.nnp.zip[MobileNet-v2.nnp]",
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"format": "NNabla v0.1",
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"link": "https://nnabla.readthedocs.io/en/latest/python/api/models/imagenet.html"
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},
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{
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"type": "nnabla",
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"target": "SqueezeNet-1.1.nnp",
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- "source": "https://nnabla.org/pretrained-models/nnp_models/imagenet/SqueezeNet-1.1/SqueezeNet-1.1.nnp",
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- "format": "NNabla v0.1",
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- "link": "https://nnabla.readthedocs.io/en/latest/python/api/models/imagenet.html"
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- },
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- {
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- "type": "nnabla",
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- "target": "NIN.nnp",
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- "source": "https://nnabla.org/pretrained-models/nnp_models/imagenet/NIN/NIN.nnp",
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+ "source": "https://github.com/user-attachments/files/24350433/SqueezeNet-1.1.nnp.zip[SqueezeNet-1.1.nnp]",
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"format": "NNabla v0.1",
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"link": "https://nnabla.readthedocs.io/en/latest/python/api/models/imagenet.html"
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},
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{
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"type": "nnabla",
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"target": "results.nnp",
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- "source": "https://github.com/lutzroeder/netron/files/14927097/results.nnp.zip[results.nnp]",
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+ "source": "https://github.com/user-attachments/files/24350430/results.nnp.zip[results.nnp]",
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"format": "NNabla v0.1",
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"link": "https://github.com/lutzroeder/netron/issues/759"
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},
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- {
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- "type": "nnabla",
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- "target": "ShuffleNet-0.5x.nnp",
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- "source": "https://nnabla.org/pretrained-models/nnp_models/imagenet/ShuffleNet-0.5x/ShuffleNet-0.5x.nnp",
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- "format": "NNabla v0.1",
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- "link": "https://nnabla.readthedocs.io/en/latest/python/api/models/imagenet.html"
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- },
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{
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"type": "nnef",
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"target": "squeezenet_v1.0.onnx.nnef.tgz",
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