chore: update dependency versions like transformers and torch (#4822)

Co-authored-by: Bikash Shrestha <[email protected]>

Author: shrestha-bikash

responsible_ai/sm-clarify_text_explainability_text_sentiment_analysis/code/requirements.txt

@@ -1,3 +1,3 @@
-transformers==4.2.1
-torch==1.13.1
+transformers==4.40.0
+torch==2.2.0
 pandas

responsible_ai/sm-clarify_text_explainability_text_sentiment_analysis/sm-clarify_text_explainability_text_sentiment_analysis.ipynb

@@ -77,8 +77,8 @@
     "1. Kernel: Python 3 (Data Science) kernel on SageMaker Studio or `conda_python3` kernel on notebook instances\n",
     "2. Instance type: Any GPU instance. Here, we use `ml.g4dn.xlarge`\n",
     "3. [SageMaker Python SDK](https://pypi.org/project/sagemaker/) version 2.70.0 or greater\n",
-    "4. [Transformers](https://pypi.org/project/transformers/) > 4.6.1\n",
-    "5. [Datasets](https://pypi.org/project/datasets/) > 1.6.2\n",
+    "4. [Transformers](https://pypi.org/project/transformers/) >= 4.40.0\n",
+    "5. [Datasets](https://pypi.org/project/datasets/) >= 2.18.0\n",
     "\n",
     "Let's start by installing the required packages."
    ]
@@ -91,7 +91,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install \"datasets[s3]==1.6.2\" \"transformers==4.6.1\" --upgrade --quiet"
+    "!pip install \"datasets[s3]==2.18.0\" \"transformers==4.40.0\" --upgrade --quiet"
    ]
   },
   {
@@ -115,7 +115,7 @@
    },
    "outputs": [],
    "source": [
-    "!pip install \"torch==1.6\" --upgrade --quiet\n",
+    "!pip install \"torch==2.2.0\" --upgrade --quiet\n",
     "!pip install captum --upgrade --quiet"
    ]
   },
@@ -649,9 +649,9 @@
     "    source_dir=\"scripts\",\n",
     "    instance_type=\"ml.g4dn.xlarge\",\n",
     "    instance_count=1,\n",
-    "    transformers_version=\"4.6.1\",\n",
-    "    pytorch_version=\"1.7.1\",\n",
-    "    py_version=\"py36\",\n",
+    "    transformers_version=\"4.36.0\",\n",
+    "    pytorch_version=\"2.1.0\",\n",
+    "    py_version=\"py310\",\n",
     "    role=role,\n",
     "    hyperparameters=hyperparameters,\n",
     "    disable_profiler=True,\n",
@@ -730,8 +730,8 @@
     "    name=model_name,\n",
     "    model_data=zipped_model_path,\n",
     "    role=get_execution_role(),\n",
-    "    framework_version=\"1.7.1\",\n",
-    "    py_version=\"py3\",\n",
+    "    framework_version=\"2.2.0\",\n",
+    "    py_version=\"py310\",\n",
     ")\n",
     "predictor = model.deploy(\n",
     "    initial_instance_count=1, instance_type=\"ml.g4dn.xlarge\", endpoint_name=endpoint_name\n",