update notebook

examples/fine-tune-modernbert-classifier.ipynb

@@ -285,7 +285,14 @@
    "source": [
     "## Let's generate some data\n",
     "\n",
-    "Let's go to the [hosted Hugging Face Space](https://huggingface.co/spaces/argilla/synthetic-data-generator) to generate the data. This is done in three steps 1) we come up with a dataset description, 2) iterate on the task configuration, and 3) generate and push the data to Hugging Face. The full flow can be found in [this blogpost](https://huggingface.co/blog/synthetic-data-generator). \n",
+    "Let's go to the [hosted Hugging Face Space](https://huggingface.co/spaces/argilla/synthetic-data-generator) to generate the data. This is done in three steps 1) we come up with a dataset description, 2) iterate on the task configuration, and 3) generate and push the data to Hugging Face. A more detailed flow can be found in [this blogpost](https://huggingface.co/blog/synthetic-data-generator). \n",
+    "\n",
+    "<iframe\n",
+    "\tsrc=\"https://argilla-synthetic-data-generator.hf.space\"\n",
+    "\tframeborder=\"0\"\n",
+    "\twidth=\"850\"\n",
+    "\theight=\"450\"\n",
+    "></iframe>\n",
     "\n",
     "For this example, we will generate 1000 examples with a temperature of 1. After some iteration, we come up with the following system prompt:\n",
     "\n",