Update Notebooks and README (#356)

*Issue #, if available:*

*Description of changes:*


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---------

Co-authored-by: Oleksandr Shchur <[email protected]>

Author: abdulfatir

README.md

@@ -56,6 +56,10 @@ To perform inference with Chronos, the easiest way is to install this package th
 pip install chronos-forecasting
 ```
 
+> [!TIP]
+> For reliable production use, we recommend using Chronos-2 models through [Amazon SageMaker JumpStart](https://aws.amazon.com/sagemaker/ai/jumpstart/). Check out [this tutorial](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb) to learn how to deploy Chronos-2 inference endpoints to AWS with just a few lines of code.
+
+
 ### Forecasting
 
 A minimal example showing how to perform forecasting using Chronos-2:
@@ -111,8 +115,15 @@ plt.legend()
 ## Example Notebooks
 
 - [Chronos-2 Quick Start](notebooks/chronos-2-quickstart.ipynb)
-- [Deploy Chronos-Bolt on Amazon SageMaker](notebooks/deploy-chronos-bolt-to-amazon-sagemaker.ipynb)
-- Deploy Chronos-2 on Amazon SageMaker (coming soon!)
+   
+  <a href="https://studiolab.sagemaker.aws/import/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb">
+    <img src="https://studiolab.sagemaker.aws/studiolab.svg" alt="Open In SageMaker Studio Lab" height="18" align="absmiddle">
+  </a>
+  &nbsp;
+  <a href="https://colab.research.google.com/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb">
+    <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab" height="18" align="absmiddle">
+  </a>
+- [Deploy Chronos-2 on Amazon SageMaker](notebooks/deploy-chronos-to-amazon-sagemaker.ipynb)
 
 ## 📝 Citation
 

notebooks/chronos-2-quickstart.ipynb

@@ -7,6 +7,12 @@
    "source": [
     "# Getting Started with Chronos-2\n",
     "\n",
+    "[![Open In SageMaker Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb)\n",
+    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](\n",
+    "https://colab.research.google.com/github/amazon-science/chronos-forecasting/blob/main/notebooks/chronos-2-quickstart.ipynb)\n",
+    "\n",
+    "\n",
+    "\n",
     "**Chronos-2** is a foundation model for time series forecasting that builds on [Chronos](https://arxiv.org/abs/2403.07815) and [Chronos-Bolt](https://aws.amazon.com/blogs/machine-learning/fast-and-accurate-zero-shot-forecasting-with-chronos-bolt-and-autogluon/). It offers significant improvements in capabilities and can handle diverse forecasting scenarios not supported by earlier models.\n",
     "\n",
     "| Capability | Chronos | Chronos-Bolt | Chronos-2 |\n",
@@ -31,7 +37,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "%pip install -U 'chronos-forecasting>=2.0' 'pandas[pyarrow]' 'matplotlib'"
+    "%pip install 'chronos-forecasting>=2.0' 'pandas[pyarrow]' 'matplotlib'"
    ]
   },
   {
@@ -41,9 +47,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Use only 1 GPU if available\n",
     "import os\n",
     "\n",
+    "# Use only 1 GPU if available\n",
     "os.environ[\"CUDA_VISIBLE_DEVICES\"] = \"0\"\n",
     "\n",
     "import pandas as pd\n",
@@ -1586,7 +1592,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.11"
+   "version": "3.11.13"
   }
  },
  "nbformat": 4,