{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "\n",
    "model_path = \"reuse_model.pth\"\n",
    "state_dict = torch.load(model_path)[\"state_dict\"]\n",
    "# Get the linear layer weights\n",
    "linear = {\n",
    "    \"weight\": state_dict[\"head.weight\"].to(torch.float16),\n",
    "    \"bias\": state_dict[\"head.bias\"].to(torch.float16)\n",
    "}\n",
    "# Save the linear layer weights\n",
    "torch.save(linear, \"files/reuse_linear.pth\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "\n",
    "model_path = \"price_model.pth\"\n",
    "state_dict = torch.load(model_path)[\"state_dict\"]\n",
    "# Get the linear layer weights\n",
    "linear = {\n",
    "    \"weight\": state_dict[\"head.weight\"].to(torch.float16),\n",
    "    \"bias\": state_dict[\"head.bias\"].to(torch.float16)\n",
    "}\n",
    "# Save the linear layer weights\n",
    "torch.save(linear, \"files/price_linear.pth\")"
   ]
  }
 ],
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   "file_extension": ".py",
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