diff --git a/torchvision/ops/_register_onnx_ops.py b/torchvision/ops/_register_onnx_ops.py
index b3fac19cbf6..629c19c1646 100644
--- a/torchvision/ops/_register_onnx_ops.py
+++ b/torchvision/ops/_register_onnx_ops.py
@@ -38,7 +38,7 @@ def roi_align(g, input, rois, spatial_scale, pooled_height, pooled_width, sampli
         # ONNX doesn't support negative sampling_ratio
         if sampling_ratio < 0:
             warnings.warn(
-                "ONNX doesn't support negative sampling ratio, therefore is is set to 0 in order to be exported."
+                "ONNX doesn't support negative sampling ratio, therefore is set to 0 in order to be exported."
             )
             sampling_ratio = 0
         return g.op(
diff --git a/torchvision/ops/misc.py b/torchvision/ops/misc.py
index d4065172ea0..a4635099215 100644
--- a/torchvision/ops/misc.py
+++ b/torchvision/ops/misc.py
@@ -219,7 +219,7 @@ def __init__(
 class SqueezeExcitation(torch.nn.Module):
     """
     This block implements the Squeeze-and-Excitation block from https://arxiv.org/abs/1709.01507 (see Fig. 1).
-    Parameters ``activation``, and ``scale_activation`` correspond to ``delta`` and ``sigma`` in in eq. 3.
+    Parameters ``activation``, and ``scale_activation`` correspond to ``delta`` and ``sigma`` in eq. 3.
 
     Args:
         input_channels (int): Number of channels in the input image