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 * Note that all the experiment configuration files are placed in the [./config](https://github.com/gidariss/FeatureLearningRotNet/tree/master/config) directory.
 
 ### CIFAR-10 experiments
-* In order to train (in an unsupervised way) the RotNet model on the CIFAR-10 training images and then evaluate object classifiers on top of the RotNet-based learned features see the [run_cifar10_based_unsupervised_experiments.sh](https://github.com/gidariss/FeatureLearningRotNet/blob/master/run_cifar10_based_unsupervised_experiments.sh) script.
+* In order to train (in an unsupervised way) the RotNet model on the CIFAR-10 training images and then evaluate object classifiers on top of the RotNet-based learned features see the [run_cifar10_based_unsupervised_experiments.sh](https://github.com/gidariss/FeatureLearningRotNet/blob/master/run_cifar10_based_unsupervised_experiments.sh) script. Pre-trained model (in pytorch format) is provided [here](https://mega.nz/#!bk8ggYRa!CJoP3yugsI31rFGVtAX0nFBFtL_4a6BMlP9h6N56KH0) (note that it is not exactly the same model used in the paper).
 * In order to run the semi-supervised experiments on CIFAR-10 see the [run_cifar10_semi_supervised_experiments.sh](https://github.com/gidariss/FeatureLearningRotNet/blob/master/run_cifar10_semi_supervised_experiments.sh) script.
 
 ### ImageNet and Places205 experiments