![]() ![]() \n Overwrite existing file?Ģ18=The directory "%s" already exists \n Overwrite directory and existing file?Ģ19=The configuration file (INI) will be not overwritten!Ģ23=Check the Windows 10 Defender folder protection or and your access rights!Ģ41= Hello,\r\n \r\n I found #AP#. SWAG LICENSE for additional details.55=Transparent frequency display on the desktopĥ6=Precise determination of the CPU frequencyĨ0=Please press the test button to determine the exact CPU frequencyĢ06=Install for all user on this computerĢ13=The folder can't be created in the locationĢ16=You don't have administrative privileges\n#APP# must not be installed, for example, simply copy #APP#_Install.exe to the desktop, rename to #APP#.exe and GO.Ģ17=The "%s" already exists. More specifically, SWAG models are released under the CC-BY-NC 4.0 license. It is your responsibility to determine whether you have permission to use the models for your ![]() The pre-trained models provided in this library may have their own licenses or terms and conditions derived from theĭataset used for training. To be included in this library, please get in touch through a GitHub issue. If you're a dataset owner and wish to update any part of it (description, citation, etc.), or do not want your dataset It is your responsibility toĭetermine whether you have permission to use the dataset under the dataset's license. Vouch for their quality or fairness, or claim that you have license to use the dataset. We do not host or distribute these datasets, This is a utility library that downloads and prepares public datasets. See the CONTRIBUTING file for how to help out. You can find the API documentation on the pytorch website: Contributing The following is the corresponding torchvision versions and supported Python To build source, refer to our contributing Versions of torch and torchvision on your system. The torchvision package consists of popular datasets, model architectures, and common image transformations for computer ![]()
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