add transformers notebook

transformers.ipynb

@@ -0,0 +1,71 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Token was found\n",
+      "<|im_start|>system\n",
+      "You are an AI assistant with access to various tools.<|im_end|>\n",
+      "<|im_start|>user\n",
+      "Hi !<|im_end|>\n",
+      "<|im_start|>assistant\n",
+      "Hi human, what can help you with ?<|im_end|>\n",
+      "<|im_start|>assistant\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "from transformers import AutoTokenizer\n",
+    "\n",
+    "messages = [\n",
+    "    {\"role\": \"system\", \"content\": \"You are an AI assistant with access to various tools.\"},\n",
+    "    {\"role\": \"user\", \"content\": \"Hi !\"},\n",
+    "    {\"role\": \"assistant\", \"content\": \"Hi human, what can help you with ?\"},\n",
+    "]\n",
+    "\n",
+    "token = os.getenv('HF_TOKEN')\n",
+    "if token is None:\n",
+    "    raise ValueError('You must set the HF_TOKEN environment variable')\n",
+    "else:\n",
+    "    print('Token was found')\n",
+    "    #print('Token:', token)\n",
+    "\n",
+    "\n",
+    "tokenizer = AutoTokenizer.from_pretrained(\"HuggingFaceTB/SmolLM2-1.7B-Instruct\", use_auth_token=token)\n",
+    "rendered_prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)\n",
+    "\n",
+    "print(rendered_prompt)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}