infrastructure-version-compatibilit-when-using-transformers-version-4-52-2-with-pytorc-b0e06896

THEN Upgrade PyTorch to version 2.5 or later to satisfy the conditional import, or downgrade transformers to version 4.52.1 which did not exhibit this bug. Alternatively, apply the hotfix from PR #38262 that guards the use of `Replicate` behind the same version check used for its import.

In `transformers/integrations/tensor_parallel.py`, line 733 uses `Replicate()` unconditionally:
```python
"colwise": ColwiseParallel(),
# inside ColwiseParallel.__init__: self.input_layouts = (input_layouts or Replicate(),)
```
But `Replicate` is only imported if `is_torch_greater_or_equal("2.5") and _torch_distributed_available`. The fix is to replace `Replicate()` with a lazy or conditional default.