Fixes import error for this function `create_position_ids_from_input_ids` in transformers V5.

The function is now kept as a staticmethod in the file: (transformers.models.xlm_roberta.modeling_xlm_roberta). This PR will make sure that it will now work in both Transformers V5 and older v4.57.6 versions.
ImportError: cannot import name 'create_position_ids_from_input_ids' from 'transformers.models.xlm_roberta.modeling_xlm_roberta' (/home/suraj/repos/transformers/src/transformers/models/xlm_roberta/modeling_xlm_roberta.py)

embedding.py

@@ -5,8 +5,22 @@
 
 import torch
 import torch.nn as nn
-from transformers.models.xlm_roberta.modeling_xlm_roberta import \
-    create_position_ids_from_input_ids
+
+
+def create_position_ids_from_input_ids(input_ids, padding_idx, past_key_values_length=0):
+    """
+    Replace non-padding symbols with their position numbers. Position numbers begin at padding_idx+1. Padding symbols
+    are ignored. This is modified from fairseq's `utils.make_positions`.
+
+    Args:
+        x: torch.Tensor x:
+
+    Returns: torch.Tensor
+    """
+    # The series of casts and type-conversions here are carefully balanced to both work with ONNX export and XLA.
+    mask = input_ids.ne(padding_idx).int()
+    incremental_indices = (torch.cumsum(mask, dim=1).type_as(mask) + past_key_values_length) * mask
+    return incremental_indices.long() + padding_idx
 
 
 class XLMRobertaEmbeddings(nn.Module):