diff --git a/examples/hub.ipynb b/examples/hub.ipynb
index 29d8ff14..c6fec03e 100644
--- a/examples/hub.ipynb
+++ b/examples/hub.ipynb
@@ -22,7 +22,7 @@
"id": "FIzICjaph_Wy"
},
"source": [
- "\n",
+ "\n",
"
\n",
"\n",
"
\n",
@@ -31,12 +31,12 @@
"\n",
"
\n",
" 
\n",
- "
\n",
+ " \n",
" 
\n",
"\n",
"Welcome to the [Ultralytics](https://ultralytics.com/) HUB notebook!\n",
"\n",
- "This notebook allows you to train [YOLOv5](https://github.com/ultralytics/yolov5) and [YOLOv8](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the HUB
Docs for details, raise an issue on
GitHub for support, and join our
Discord community for questions and discussions!\n",
+ "This notebook allows you to train Ultralytics [YOLO](https://github.com/ultralytics/ultralytics) 🚀 models using [HUB](https://hub.ultralytics.com/). Please browse the HUB
Docs for details, raise an issue on
GitHub for support, and join our
Discord community for questions and discussions!\n",
"
"
]
},
@@ -58,21 +58,21 @@
"colab": {
"base_uri": "https://localhost:8080/"
},
- "outputId": "01e34b44-a26f-4dbc-a5a1-6e29bca01a1b"
+ "outputId": "824edff2-510a-4575-c749-396dafb36a47"
},
"source": [
"%pip install ultralytics # install\n",
"from ultralytics import YOLO, checks, hub\n",
"checks() # checks"
],
- "execution_count": null,
+ "execution_count": 1,
"outputs": [
{
"output_type": "stream",
- "name": "stderr",
+ "name": "stdout",
"text": [
- "Ultralytics YOLOv8.0.210 🚀 Python-3.10.12 torch-2.0.1+cu118 CUDA:0 (Tesla T4, 15102MiB)\n",
- "Setup complete ✅ (2 CPUs, 12.7 GB RAM, 24.4/78.2 GB disk)\n"
+ "Ultralytics YOLOv8.1.47 🚀 Python-3.10.12 torch-2.2.1+cu121 CUDA:0 (Tesla T4, 15102MiB)\n",
+ "Setup complete ✅ (2 CPUs, 12.7 GB RAM, 29.0/78.2 GB disk)\n"
]
}
]
@@ -96,11 +96,11 @@
"source": [
"hub.login('API_KEY') # use your API key\n",
"\n",
- "model = YOLO('https://hub.ultralytics.com/MODEL_ID') # use your model URL\n",
+ "model = YOLO('https://hub.ultralytics.com/models/MODEL_ID') # use your model URL\n",
"results = model.train() # train model"
],
"execution_count": null,
"outputs": []
}
]
-}
+}
\ No newline at end of file