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Fix doc link.
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docs/source/models.rst

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@@ -130,8 +130,8 @@ Unfortunately, the concrete `subset` that was used is lost. For more
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information see `this discussion <https://github.com/pytorch/vision/issues/1439>`_
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or `these experiments <https://github.com/pytorch/vision/pull/1965>`_.
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The sizes of the EfficientNet models depends on the variant. For the exact configuration check
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`here <https://github.com/pytorch/vision/blob/d2bfd639e46e1c5dc3c177f889dc7750c8d137c7/references/classification/train.py#L92-L93>`_
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The sizes of the EfficientNet models depends on the variant. For the exact input sizes
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`check here <https://github.com/pytorch/vision/blob/d2bfd639e46e1c5dc3c177f889dc7750c8d137c7/references/classification/train.py#L92-L93>`_
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ImageNet 1-crop error rates
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