InternLM example (#9465)

Added `InternML` model example to the HubbingFace Hub notebook

docs/extras/integrations/llms/huggingface_hub.ipynb

@@ -32,7 +32,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": null,
    "id": "d772b637-de00-4663-bd77-9bc96d798db2",
    "metadata": {
     "tags": []
@@ -44,7 +44,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "d597a792-354c-4ca5-b483-5965eec5d63d",
    "metadata": {},
    "outputs": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "id": "b8c5b88c-e4b8-4d0d-9a35-6e8f106452c2",
    "metadata": {},
    "outputs": [],
@@ -86,7 +86,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "id": "3fe7d1d1-241d-426a-acff-e208f1088871",
    "metadata": {},
    "outputs": [],
@@ -96,7 +96,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "id": "6620f39b-3d32-4840-8931-ff7d2c3e47e8",
    "metadata": {},
    "outputs": [],
@@ -106,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "id": "44adc1a0-9c0a-4f1e-af5a-fe04222e78d7",
    "metadata": {},
    "outputs": [],
@@ -135,7 +135,7 @@
    "id": "4c16fded-70d1-42af-8bfa-6ddda9f0bc63",
    "metadata": {},
    "source": [
-    "### Flan, by Google"
+    "### `Flan`, by `Google`"
    ]
   },
   {
@@ -178,7 +178,7 @@
    "id": "1a5c97af-89bc-4e59-95c1-223742a9160b",
    "metadata": {},
    "source": [
-    "### Dolly, by Databricks\n",
+    "### `Dolly`, by `Databricks`\n",
     "\n",
     "See [Databricks](https://huggingface.co/databricks) organization page for a list of available models."
    ]
@@ -225,14 +225,14 @@
    "id": "03f6ae52-b5f9-4de6-832c-551cb3fa11ae",
    "metadata": {},
    "source": [
-    "### Camel, by Writer\n",
+    "### `Camel`, by `Writer`\n",
     "\n",
     "See [Writer's](https://huggingface.co/Writer) organization page for a list of available models."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "id": "257a091d-750b-4910-ac08-fe1c7b3fd98b",
    "metadata": {
     "tags": []
@@ -261,7 +261,7 @@
    "id": "2bf838eb-1083-402f-b099-b07c452418c8",
    "metadata": {},
    "source": [
-    "### XGen, by Salesforce\n",
+    "### `XGen`, by `Salesforce`\n",
     "\n",
     "See [more information](https://github.com/salesforce/xgen)."
    ]
@@ -295,7 +295,7 @@
    "id": "0aca9f9e-f333-449c-97b2-10d1dbf17e75",
    "metadata": {},
    "source": [
-    "### Falcon, by Technology Innovation Institute (TII)\n",
+    "### `Falcon`, by T`echnology Innovation Institute (TII)`\n",
     "\n",
     "See [more information](https://huggingface.co/tiiuae/falcon-40b)."
    ]
@@ -323,6 +323,48 @@
     "llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
     "print(llm_chain.run(question))"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7e15849b-5561-4bb9-86ec-6412ca10196a",
+   "metadata": {},
+   "source": [
+    "### `InternLM-Chat`, by `Shanghai AI Laboratory`\n",
+    "\n",
+    "See [more information](https://huggingface.co/internlm/internlm-7b)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "3b533461-59f8-406e-907b-000841fa60a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "repo_id = \"internlm/internlm-chat-7b\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c71210b9-5895-41a2-889a-f430d22fa1aa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "llm = HuggingFaceHub(\n",
+    "    repo_id=repo_id, model_kwargs={\"max_length\": 128, \"temperature\": 0.8}\n",
+    ")\n",
+    "llm_chain = LLMChain(prompt=prompt, llm=llm)\n",
+    "print(llm_chain.run(question))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a80bc30a-4040-417f-8094-d2c81c423b76",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -341,7 +383,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.6"
+   "version": "3.10.12"
   }
  },
  "nbformat": 4,