Add new CIFAR100 standard model

[harsmac]

Hi, Thanks for creating this repository. I just had one request: Could we add the Standard model for CIFAR100? Like a WideResNet28-10, just like how it exists for CIFAR10?

The weights are available here: https://drive.google.com/file/d/12pATFGjsDN1Tq4p-S0-rO59sX-F_O2ol/view?usp=sharing or : https://github.com/alexrame/mixmo-pytorch?tab=readme-ov-file

[fra31]

Hi,

it should be possible to add it. However it might be problematic to take models from other repositories without at least asking the authors (unless you're one of them), e.g. because of licences. I'd say the easiest would be to train a new model with the model definition currently in the model zoo. If you already had such checkpoint, and its evaluation, it'd be great, and probably quick to add.

[linghunwhp]

When loading a model, it downloads from Google Drive, it downloads a .pt file but just contains html content of download verification page like the following screenshot. And then, it leads to some errors when loading the downloaded model. Do you know how to fix this problem? By the way, did you provide models with the TensorFlow framework or do you have a method to transfer the Pytorch model to the Tensorflow model?

Traceback (most recent call last): File "D:\My_Project\ContextFuzz\AdvTrainedModelFuzzing.py", line 57, in model = load_model(model_name='Carmon2019Unlabeled', model_dir=ae_trained_model_path, dataset='cifar10', threat_model='Linf') File "C:\Users\haipewang5\Anaconda3\envs\tensorflow_11\lib\site-packages\robustbench\utils.py", line 147, in load_model checkpoint = torch.load(model_path, map_location=torch.device('cpu')) File "C:\Users\haipewang5\Anaconda3\envs\tensorflow_11\lib\site-packages\torch\serialization.py", line 1040, in load return _legacy_load(opened_file, map_location, pickle_module, pickle_load_args) File "C:\Users\haipewang5\Anacond a3\envs\tensorflow_11\lib\site-packages\torch\serialization.py", line 1258, in _legacy_load magic_number = pickle_module.load(f, pickle_load_args) _pickle.UnpicklingError: invalid load key, '<'.