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alexey-zhavoronkin
/

CINIC10

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Image Classification

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alexey-zhavoronkin commited on Jun 14

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@@ -10,8 +10,7 @@ size_categories:
 It is faster than the common CINIC10 due to the fact that all images are loaded into RAM while initing dataset instance.
-The simplest way to use CINIC-10 is with a PyTorch data loader, as follows:
 ```
 import torchvision

 It is faster than the common CINIC10 due to the fact that all images are loaded into RAM while initing dataset instance.
+You should save file `cinic10.py` from this repo in local directory. And then import the CINIC10 class from it:
 ```
 import torchvision