Use the latest NVIDIA driver from setup-nvidia (#97840)

This goes with https://github.com/pytorch/test-infra/pull/3949

Pull Request resolved: https://github.com/pytorch/pytorch/pull/97840
Approved by: https://github.com/ZainRizvi
diff --git a/.github/workflows/_linux-test.yml b/.github/workflows/_linux-test.yml
index 44dd294..53fb23f 100644
--- a/.github/workflows/_linux-test.yml
+++ b/.github/workflows/_linux-test.yml
@@ -92,8 +92,6 @@
       - name: Install nvidia driver, nvidia-docker runtime, set GPU_FLAG
         uses: pytorch/test-infra/.github/actions/setup-nvidia@main
         if: contains(inputs.build-environment, 'cuda') && !contains(matrix.config, 'nogpu')
-        with:
-          driver-version: "525.85.05"
 
       - name: Lock NVIDIA A100 40GB Frequency
         run: |