add links in example nb with tei/tgi references (#25821)

I have validated langchain interface with tei/tgi works as expected when
TEI and TGI running on Intel Gaudi2. Adding some references to notebooks
to help users find relevant info.

---------

Co-authored-by: Rita Brugarolas <rbrugaro@idc708053.jf.intel.com>
Co-authored-by: Chester Curme <chester.curme@gmail.com>

docs/docs/integrations/llms/huggingface_endpoint.ipynb

@@ -210,6 +210,13 @@
     ")\n",
     "llm(\"What did foo say about bar?\", callbacks=[StreamingStdOutCallbackHandler()])"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This same `HuggingFaceEndpoint` class can be used with a local [HuggingFace TGI instance](https://github.com/huggingface/text-generation-inference/blob/main/docs/source/index.md) serving the LLM. Check out the TGI [repository](https://github.com/huggingface/text-generation-inference/tree/main) for details on various hardware (GPU, TPU, Gaudi...) support."
+   ]
   }
  ],
  "metadata": {

docs/docs/integrations/text_embedding/text_embeddings_inference.ipynb

@@ -39,7 +39,9 @@
     "volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run\n",
     "\n",
     "docker run --gpus all -p 8080:80 -v $volume:/data --pull always ghcr.io/huggingface/text-embeddings-inference:0.6 --model-id $model --revision $revision\n",
-    "```"
+    "```\n",
+    "\n",
+    "Specifics on Docker usage might vary with the underlying hardware. For example, to serve the model on Intel Gaudi/Gaudi2 hardware, refer to the [tei-gaudi repository](https://github.com/huggingface/tei-gaudi) for the relevant docker run command."
    ]
   },
   {