Fix Typos in Comments and Improve Clarity

src/transformers/models/swin/modeling_swin.py

@@ -380,7 +380,7 @@ def forward(self, input_feature: torch.Tensor, input_dimensions: Tuple[int, int]
         batch_size, dim, num_channels = input_feature.shape
 
         input_feature = input_feature.view(batch_size, height, width, num_channels)
-        # pad input to be disible by width and height, if needed
+        # pad input to be divisible by width and height, if needed
         input_feature = self.maybe_pad(input_feature, height, width)
         # [batch_size, height/2, width/2, num_channels]
         input_feature_0 = input_feature[:, 0::2, 0::2, :]

src/transformers/pipelines/pt_utils.py

@@ -185,7 +185,7 @@ def __next__(self):
             # Try to return next item
             processed = next(self.subiterator)
         except StopIteration:
-            # When a preprocess iterator ends, we can start lookig at the next item
+            # When a preprocess iterator ends, we can start looking at the next item
             # ChunkIterator will keep feeding until ALL elements of iterator
             # all have created their subiterator and have been iterating against.
             #