Use valid default model in news summarization notebook

eval/news_summarization/notebook.ipynb

@@ -13,7 +13,7 @@
         "This notebook pulls the benchmark code directly from the Hugging Face repo so it stays in sync with the HF page.\n",
         "\n",
         "Recommended first model:\n",
-        "- `Qwen/Qwen3.5-8B-Instruct-2507`\n"
+        "- `Qwen/Qwen2.5-7B-Instruct`\n"
       ]
     },
     {
@@ -27,6 +27,24 @@
         "!pip install -q transformers accelerate sentencepiece bert-score rouge-score huggingface_hub"
       ]
     },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "hf-login"
+      },
+      "outputs": [],
+      "source": [
+        "from google.colab import userdata\n",
+        "from huggingface_hub import login\n",
+        "import os\n",
+        "\n",
+        "token = userdata.get(\"HF_TOKEN\")\n",
+        "os.environ[\"HF_TOKEN\"] = token\n",
+        "login(token=token)\n",
+        "print(\"HF token loaded from Colab Secrets\")\n"
+      ]
+    },
     {
       "cell_type": "code",
       "execution_count": null,
@@ -59,7 +77,7 @@
       },
       "outputs": [],
       "source": [
-        "MODEL = \"Qwen/Qwen3.5-8B-Instruct-2507\"\n",
+        "MODEL = \"Qwen/Qwen2.5-7B-Instruct\"\n",
         "LIMIT = 50\n",
         "PROMPT_STYLE = \"simple\"\n",
         "DTYPE = \"bfloat16\"\n",