experimental[patch] Update prompt injection model (#13930)

- **Description:** Existing model used for Prompt Injection is quite
outdated but we fine-tuned and open-source a new model based on the same
model deberta-v3-base from Microsoft -
[laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection).
It supports more up-to-date injections and less prone to
false-positives.
  - **Dependencies:** No
  - **Tag maintainer:** -
  - **Twitter handle:** @alex_yaremchuk

---------

Co-authored-by: Bagatur <baskaryan@gmail.com>

docs/docs/guides/safety/hugging_face_prompt_injection.ipynb

@@ -8,7 +8,7 @@
     "# Hugging Face prompt injection identification\n",
     "\n",
     "This notebook shows how to prevent prompt injection attacks using the text classification model from `HuggingFace`.\n",
-    "It exploits the *deberta* model trained to identify prompt injections: https://huggingface.co/deepset/deberta-v3-base-injection"
+    "By default it uses a *deberta* model trained to identify prompt injections. In this walkthrough we'll use https://huggingface.co/laiyer/deberta-v3-base-prompt-injection."
    ]
   },
   {
@@ -21,19 +21,37 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "aea25588-3c3f-4506-9094-221b3a0d519b",
    "metadata": {},
    "outputs": [
     {
      "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "58ab3557623a495d8cc3c3e32a61938f",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "'hugging_face_injection_identifier'"
+       "Downloading config.json:   0%|          | 0.00/994 [00:00<?, ?B/s]"
       ]
      },
-     "execution_count": 1,
      "metadata": {},
-     "output_type": "execute_result"
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3bf062f02d304ab5a485a2a228b4cf41",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Downloading model.safetensors:   0%|          | 0.00/738M [00:00<?, ?B/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -41,7 +59,10 @@
     "    HuggingFaceInjectionIdentifier,\n",
     ")\n",
     "\n",
-    "injection_identifier = HuggingFaceInjectionIdentifier()\n",
+    "# Using https://huggingface.co/laiyer/deberta-v3-base-prompt-injection\n",
+    "injection_identifier = HuggingFaceInjectionIdentifier(\n",
+    "    model=\"laiyer/deberta-v3-base-prompt-injection\"\n",
+    ")\n",
     "injection_identifier.name"
    ]
   },
@@ -299,9 +320,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "poetry-venv",
    "language": "python",
-   "name": "python3"
+   "name": "poetry-venv"
   },
   "language_info": {
    "codemirror_mode": {
@@ -313,7 +334,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.12"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,