Upload test_privacy_filter_ko.ipynb with huggingface_hub

test_privacy_filter_ko.ipynb

@@ -17,7 +17,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": "# The `openai_privacy_filter` architecture is in transformers HEAD but not yet\n# in a stable PyPI release. Install from source on first run.\n#\n# Colab note: if running in a fresh Colab environment, restart the runtime\n# after this cell completes (Runtime → Restart runtime) so the upgraded\n# transformers replaces the pre-loaded version. Then continue from cell 3.\n#\n# Comment the line below if you already have transformers installed from source.\n!pip install -q \"git+https://github.com/huggingface/transformers.git\" peft torch safetensors accelerate"
+   "source": "# Privacy Filter requires transformers 5.x (HEAD) for the `openai_privacy_filter`\n# model_type. Stable PyPI transformers (4.x) does NOT have it yet.\n#\n# Run this cell ONCE on first use. If you're on Colab, the kernel will auto-restart\n# afterwards — this is normal. After restart, run cells 3 onwards.\n\nimport importlib, subprocess, sys\n\n\ndef _has_privacy_filter():\n    try:\n        m = importlib.import_module(\"transformers.models.auto.configuration_auto\")\n        return \"openai_privacy_filter\" in getattr(m, \"CONFIG_MAPPING_NAMES\", {})\n    except Exception:\n        return False\n\n\nif _has_privacy_filter():\n    import transformers\n    print(f\"transformers {transformers.__version__} already supports openai_privacy_filter — ready.\")\nelse:\n    print(\"Installing transformers from source (HEAD)...\")\n    # --upgrade is critical: without it, pip silently no-ops if any transformers is present.\n    subprocess.check_call([\n        sys.executable, \"-m\", \"pip\", \"install\", \"-q\", \"--upgrade\",\n        \"git+https://github.com/huggingface/transformers.git\",\n        \"peft\", \"safetensors\", \"accelerate\",\n    ])\n    print(\"Install done.\")\n\n    # Force kernel restart on Colab so the new transformers replaces the imported one.\n    # This raises a hard exit — re-run from cell 3 after the kernel comes back.\n    try:\n        import google.colab  # noqa: F401\n        print(\"Restarting Colab runtime...\")\n        import os\n        os.kill(os.getpid(), 9)\n    except ImportError:\n        # Local Jupyter — request kernel restart.\n        try:\n            import IPython\n            print(\"Requesting Jupyter kernel restart...\")\n            IPython.Application.instance().kernel.do_shutdown(restart=True)\n        except Exception:\n            print(\"Please RESTART YOUR KERNEL (Kernel → Restart) before running cell 3.\")"
   },
   {
    "cell_type": "code",