support cuda #12

example.ipynb

@@ -9,7 +9,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/ubuntu/jsonllm/.venv/lib/python3.10/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+      "/home/ubuntu/jsonformer/.venv/lib/python3.8/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
       "  from .autonotebook import tqdm as notebook_tqdm\n"
      ]
     },
@@ -26,12 +26,68 @@
     "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
     "\n",
     "print(\"Loading model and tokenizer...\")\n",
-    "model_name = \"databricks/dolly-v2-12b\"\n",
-    "model = AutoModelForCausalLM.from_pretrained(model_name, use_cache=True)\n",
+    "model_name = \"databricks/dolly-v2-3b\"\n",
+    "model = AutoModelForCausalLM.from_pretrained(model_name, use_cache=True, device_map=\"auto\")\n",
     "tokenizer = AutoTokenizer.from_pretrained(model_name, use_fast=True, use_cache=True)\n",
     "print(\"Loaded model and tokenizer\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Generating...\n",
+      "{\n",
+      "  temperature: \u001b[32m\"22.0\"\u001b[0m,\n",
+      "  humidity: \u001b[32m\"60\"\u001b[0m,\n",
+      "  wind_speed: {\n",
+      "    value: \u001b[32m\"5\"\u001b[0m,\n",
+      "    unit: \u001b[32m\"mph\"\u001b[0m\n",
+      "  }\n",
+      "}\n"
+     ]
+    }
+   ],
+   "source": [
+    "from jsonformer.format import highlight_values\n",
+    "from jsonformer.main import Jsonformer\n",
+    "\n",
+    "weather_schema = {\n",
+    "    \"type\": \"object\",\n",
+    "    \"properties\": {\n",
+    "        \"temperature\": {\"type\": \"string\"},\n",
+    "        \"humidity\": {\n",
+    "            \"type\": \"string\",\n",
+    "        },\n",
+    "        \"wind_speed\": {\n",
+    "            \"type\": \"object\",\n",
+    "            \"properties\": {\n",
+    "                \"value\": {\"type\": \"string\"},\n",
+    "                \"unit\": {\"type\": \"string\"},\n",
+    "            },\n",
+    "        },\n",
+    "    },\n",
+    "}\n",
+    "\n",
+    "builder = Jsonformer(\n",
+    "    model=model,\n",
+    "    tokenizer=tokenizer,\n",
+    "    json_schema=weather_schema,\n",
+    "    prompt=\"generate the weather\",\n",
+    "    device=\"cuda\",\n",
+    ")\n",
+    "\n",
+    "print(\"Generating...\")\n",
+    "output = builder()\n",
+    "\n",
+    "highlight_values(output)\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -43,75 +99,11 @@
      "text": [
       "Generating...\n",
       "{\n",
-      "  temperature: \u001b[32m2.2225\u001b[0m,\n",
-      "  humidity: \u001b[32m1.0\u001b[0m,\n",
-      "  wind_speed: {\n",
-      "    value: \u001b[32m0.0\u001b[0m,\n",
-      "    unit: \u001b[32m\"value\"\u001b[0m\n",
-      "  }\n",
-      "}\n"
-     ]
-    }
-   ],
-   "source": [
-    "from jsonformer.format import highlight_values\n",
-    "from jsonformer.main import Jsonformer\n",
-    "\n",
-    "weather_schema = {\n",
-    "    \"type\": \"object\",\n",
-    "    \"properties\": {\n",
-    "        \"temperature\": {\"type\": \"number\"},\n",
-    "        \"humidity\": {\n",
-    "            \"type\": \"number\",\n",
-    "        },\n",
-    "        \"wind_speed\": {\n",
-    "            \"type\": \"object\",\n",
-    "            \"properties\": {\n",
-    "                \"value\": {\"type\": \"number\"},\n",
-    "                \"unit\": {\"type\": \"string\"},\n",
-    "            },\n",
-    "        },\n",
-    "    },\n",
-    "}\n",
-    "\n",
-    "builder = Jsonformer(\n",
-    "    model=model,\n",
-    "    tokenizer=tokenizer,\n",
-    "    json_schema=weather_schema,\n",
-    "    prompt=\"generate the weather\",\n",
-    ")\n",
-    "\n",
-    "print(\"Generating...\")\n",
-    "output = builder()\n",
-    "\n",
-    "highlight_values(output)\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Generating...\n",
-      "{\n",
-      "  make: \u001b[32m\"Ford\"\u001b[0m,\n",
-      "  model: \u001b[32m\"Mustang\"\u001b[0m,\n",
-      "  year: \u001b[32m10.0\u001b[0m,\n",
+      "  make: \u001b[32m\"audi\"\u001b[0m,\n",
+      "  model: \u001b[32m\"model a4\"\u001b[0m,\n",
+      "  year: \u001b[32m1.0\u001b[0m,\n",
       "  colors: [\n",
-      "    \u001b[32m\"red\"\u001b[0m,\n",
-      "    \u001b[32m\"white\"\u001b[0m,\n",
-      "    \u001b[32m\"blue\"\u001b[0m,\n",
-      "    \u001b[32m\"black\"\u001b[0m,\n",
-      "    \u001b[32m\"yellow\"\u001b[0m,\n",
-      "    \u001b[32m\"orange\"\u001b[0m,\n",
-      "    \u001b[32m\"green\"\u001b[0m,\n",
-      "    \u001b[32m\"pink\"\u001b[0m,\n",
-      "    \u001b[32m\"purple\"\u001b[0m,\n",
-      "    \u001b[32m\"violet\"\u001b[0m\n",
+      "    \u001b[32m\"blue\"\u001b[0m\n",
       "  ]\n",
       "}\n"
      ]
@@ -123,11 +115,12 @@
     "    \"properties\": {\n",
     "        \"make\": {\"type\": \"string\"},\n",
     "        \"model\": {\"type\": \"string\"},\n",
-    "        \"year\": {\"type\": \"number\"},\n",
+    "        \"year\": {\"type\": \"string\"},\n",
     "        \"colors\": {\n",
     "            \"type\": \"array\",\n",
     "            \"items\": {\"type\": \"string\"},\n",
-    "        }\n",
+    "        },\n",
+    "        \"shouldUseTurnSignal\": {\"type\": \"boolean\"},\n",
     "    },\n",
     "}\n",
     "\n",
@@ -136,6 +129,7 @@
     "    tokenizer=tokenizer,\n",
     "    json_schema=car,\n",
     "    prompt=\"generate an example car\",\n",
+    "    device=\"cuda\",\n",
     ")\n",
     "\n",
     "print(\"Generating...\")\n",
@@ -143,6 +137,13 @@
     "\n",
     "highlight_values(output)\n"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
@@ -161,7 +162,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.8.10"
   },
   "orig_nbformat": 4
  },