docs: change server README to only load densenet_onnx since tf model cannot load after 25.03 (#8089)

Author: ziqifan617

README.md

@@ -89,12 +89,11 @@ cd server/docs/examples
 ./fetch_models.sh
 
 # Step 2: Launch triton from the NGC Triton container
-docker run --gpus=1 --rm --net=host -v ${PWD}/model_repository:/models nvcr.io/nvidia/tritonserver:25.02-py3 tritonserver --model-repository=/models
+docker run --gpus=1 --rm --net=host -v ${PWD}/model_repository:/models nvcr.io/nvidia/tritonserver:25.02-py3 tritonserver --model-repository=/models --model-control-mode explicit --load-model densenet_onnx
 
 # Step 3: Sending an Inference Request
 # In a separate console, launch the image_client example from the NGC Triton SDK container
-docker run -it --rm --net=host nvcr.io/nvidia/tritonserver:25.02-py3-sdk
-/workspace/install/bin/image_client -m densenet_onnx -c 3 -s INCEPTION /workspace/images/mug.jpg
+docker run -it --rm --net=host nvcr.io/nvidia/tritonserver:25.02-py3-sdk /workspace/install/bin/image_client -m densenet_onnx -c 3 -s INCEPTION /workspace/images/mug.jpg
 
 # Inference should return the following
 Image '/workspace/images/mug.jpg':

docs/examples/fetch_models.sh

@@ -1,5 +1,5 @@
 #!/bin/bash
-# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
+# Copyright (c) 2018-2025, NVIDIA CORPORATION. All rights reserved.
 #
 # Redistribution and use in source and binary forms, with or without
 # modification, are permitted provided that the following conditions
@@ -27,13 +27,6 @@
 
 set -ex
 
-# TensorFlow inception
-mkdir -p model_repository/inception_graphdef/1
-wget -O /tmp/inception_v3_2016_08_28_frozen.pb.tar.gz \
-     https://storage.googleapis.com/download.tensorflow.org/models/inception_v3_2016_08_28_frozen.pb.tar.gz
-(cd /tmp && tar xzf inception_v3_2016_08_28_frozen.pb.tar.gz)
-mv /tmp/inception_v3_2016_08_28_frozen.pb model_repository/inception_graphdef/1/model.graphdef
-
 # ONNX densenet
 mkdir -p model_repository/densenet_onnx/1
 wget -O model_repository/densenet_onnx/1/model.onnx \