Fix QA pipeline on Windows (#8947)

src/transformers/pipelines.py

@@ -1883,6 +1883,8 @@ class QuestionAnsweringPipeline(Pipeline):
                     with torch.no_grad():
                         # Retrieve the score for the context tokens only (removing question tokens)
                         fw_args = {k: torch.tensor(v, device=self.device) for (k, v) in fw_args.items()}
+                        # On Windows, the default int type in numpy is np.int32 so we get some non-long tensors.
+                        fw_args = {k: v.long() if v.dtype == torch.int32 else v for (k, v) in fw_args.items()}
                         start, end = self.model(**fw_args)[:2]
                         start, end = start.cpu().numpy(), end.cpu().numpy()