[auto-merge] branch-25.02 to branch-25.04 [skip ci] [bot] (#492)

auto-merge triggered by github actions on `branch-25.02` to create a PR
keeping `branch-25.04` up-to-date. If this PR is unable to be merged due
to conflicts, it will remain open until manually fix.

Author: nvauto

examples/ML+DL-Examples/Spark-DL/dl_inference/README.md

@@ -99,6 +99,11 @@ The notebooks are ready to run! Each notebook has a cell to connect to the stand
 - `requirements.txt` installs pyspark>=3.4.0. Make sure the installed PySpark version is compatible with your system's Spark installation.
 - The notebooks require a GPU environment for the executors.  
 - The PyTorch notebooks include model compilation and accelerated inference with TensorRT. While not included in the notebooks, Tensorflow also supports [integration with TensorRT](https://docs.nvidia.com/deeplearning/frameworks/tf-trt-user-guide/index.html), but as of writing it is not supported in TF==2.17.0. 
+- Note that some Huggingface models may be gated and will require a login, e.g.,:
+    ```python
+    from huggingface_hub import login
+    login()
+    ```
 
 **Troubleshooting:** 
 If you encounter issues starting the Triton server, you may need to link your libstdc++ file to the conda environment, e.g.:

examples/ML+DL-Examples/Spark-DL/dl_inference/dataproc/setup/init_spark_dl.sh

@@ -49,7 +49,7 @@ if [[ "${ROLE}" == 'Master' ]]; then
     if gsutil -q stat gs://${SPARK_DL_HOME}/notebooks/**; then
         mkdir spark-dl-notebooks
         gcloud storage cp -r gs://${SPARK_DL_HOME}/notebooks/* spark-dl-notebooks
-        gcloud storage cp gs://${SPARK_DL_HOME}/pytriton_utils.py spark-dl-notebooks/
+        gcloud storage cp gs://${SPARK_DL_HOME}/pytriton_utils.py .
     else
         echo "Failed to retrieve notebooks from gs://${SPARK_DL_HOME}/notebooks/"
         exit 1