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docs/source-pytorch/data/alternatives.rst

@@ -100,18 +100,18 @@ The webdataset library contains a small wrapper (``WebLoader``) that adds a flui
     import webdataset as wds
 
     dataset = wds.WebDataset(
-        urls, 
+        urls,
         # needed for multi-gpu or multi-node training
         workersplitter=wds.shardlists.split_by_worker,
-        nodesplitter=wds.shardlists.split_by_node,  
+        nodesplitter=wds.shardlists.split_by_node,
     )
     train_dataloader = wds.WebLoader(dataset)
 
     model = ...
     trainer = L.Trainer()
     trainer.fit(model, train_dataloader)
 
-You can find a complete example `here <https://github.com/webdataset/webdataset-lightning>`__. 
+You can find a complete example `here <https://github.com/webdataset/webdataset-lightning>`__.
 
 NVIDIA DALI
 ^^^^^^^^^^^