Update Notebooks/GSI_VideoRetrieval_VideoEmbedding.ipynb

Notebooks/GSI_VideoRetrieval_VideoEmbedding.ipynb

@@ -8,7 +8,7 @@
     "# GSI Technology Video Search Demo - Embedding Videos Notebook:\n",
     "\n",
     "The following Notebook will include code that demonstrates the process of video embedding.<br>\n",
-    "It specifically focuses on embedding a single video using the [Diangle/clip4clip-webvid](https://huggingface.co/Diangle/clip4clip-webvid) model."
+    "It specifically focuses on embedding a single video using the [Searchium-ai/clip4clip-webvid150k](https://huggingface.co/Searchium-ai/clip4clip-webvid150k) model."
    ]
   },
   {
@@ -192,7 +192,7 @@
    "source": [
     "from transformers import CLIPVisionModelWithProjection\n",
     "\n",
-    "model = CLIPVisionModelWithProjection.from_pretrained(\"Diangle/clip4clip-webvid\")\n",
+    "model = CLIPVisionModelWithProjection.from_pretrained(\"Searchium-ai/clip4clip-webvid150k\")\n",
     "model = model.eval()\n",
     "visual_output = model(video)\n",
     "\n",