{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'create_repo' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[31m---------------------------------------------------------------------------\u001b[39m",
      "\u001b[31mNameError\u001b[39m                                 Traceback (most recent call last)",
      "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[1]\u001b[39m\u001b[32m, line 2\u001b[39m\n\u001b[32m      1\u001b[39m repo_id = \u001b[33m\"\u001b[39m\u001b[33meunJ/codebert_vulnerability_detector_multi\u001b[39m\u001b[33m\"\u001b[39m   \u001b[38;5;66;03m# 바꿔주세요\u001b[39;00m\n\u001b[32m----> \u001b[39m\u001b[32m2\u001b[39m \u001b[43mcreate_repo\u001b[49m(repo_id, repo_type=\u001b[33m\"\u001b[39m\u001b[33mmodel\u001b[39m\u001b[33m\"\u001b[39m, exist_ok=\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "\u001b[31mNameError\u001b[39m: name 'create_repo' is not defined"
     ]
    }
   ],
   "source": [
    "repo_id = \"eunJ/codebert_vulnerability_detector_multi\"   # 바꿔주세요\n",
    "create_repo(repo_id, repo_type=\"model\", exist_ok=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/data/eun/anaconda3/envs/xcodevul/lib/python3.13/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"
     ]
    }
   ],
   "source": [
    "\n",
    "from huggingface_hub import create_repo, upload_folder\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CommitInfo(commit_url='https://huggingface.co/eunJ/codebert_vulnerability_detector_multi/commit/71f5c4ac3fbe8a56ff25c7bd1c69825246eb264f', commit_message='Initial commit: upload all files in current directory', commit_description='', oid='71f5c4ac3fbe8a56ff25c7bd1c69825246eb264f', pr_url=None, repo_url=RepoUrl('https://huggingface.co/eunJ/codebert_vulnerability_detector_multi', endpoint='https://huggingface.co', repo_type='model', repo_id='eunJ/codebert_vulnerability_detector_multi'), pr_revision=None, pr_num=None)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "local_dir = \".\"  # 현재 디렉토리 전체\n",
    "\n",
    "# 폴더 전체 업로드\n",
    "upload_folder(\n",
    "    folder_path=local_dir,\n",
    "    repo_id=repo_id,\n",
    "    repo_type=\"model\",\n",
    "    commit_message=\"Initial commit: upload all files in current directory\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Some weights of the model checkpoint at eunJ/codebert_vulnerability_detector_multi were not used when initializing RobertaForSequenceClassification: ['classifier.bias', 'classifier.weight', 'encoder.classifier.dense.bias', 'encoder.classifier.dense.weight', 'encoder.classifier.out_proj.bias', 'encoder.classifier.out_proj.weight', 'encoder.roberta.embeddings.LayerNorm.bias', 'encoder.roberta.embeddings.LayerNorm.weight', 'encoder.roberta.embeddings.position_embeddings.weight', 'encoder.roberta.embeddings.token_type_embeddings.weight', 'encoder.roberta.embeddings.word_embeddings.weight', 'encoder.roberta.encoder.layer.0.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.0.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.0.attention.output.dense.bias', 'encoder.roberta.encoder.layer.0.attention.output.dense.weight', 'encoder.roberta.encoder.layer.0.attention.self.key.bias', 'encoder.roberta.encoder.layer.0.attention.self.key.weight', 'encoder.roberta.encoder.layer.0.attention.self.query.bias', 'encoder.roberta.encoder.layer.0.attention.self.query.weight', 'encoder.roberta.encoder.layer.0.attention.self.value.bias', 'encoder.roberta.encoder.layer.0.attention.self.value.weight', 'encoder.roberta.encoder.layer.0.intermediate.dense.bias', 'encoder.roberta.encoder.layer.0.intermediate.dense.weight', 'encoder.roberta.encoder.layer.0.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.0.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.0.output.dense.bias', 'encoder.roberta.encoder.layer.0.output.dense.weight', 'encoder.roberta.encoder.layer.1.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.1.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.1.attention.output.dense.bias', 'encoder.roberta.encoder.layer.1.attention.output.dense.weight', 'encoder.roberta.encoder.layer.1.attention.self.key.bias', 'encoder.roberta.encoder.layer.1.attention.self.key.weight', 'encoder.roberta.encoder.layer.1.attention.self.query.bias', 'encoder.roberta.encoder.layer.1.attention.self.query.weight', 'encoder.roberta.encoder.layer.1.attention.self.value.bias', 'encoder.roberta.encoder.layer.1.attention.self.value.weight', 'encoder.roberta.encoder.layer.1.intermediate.dense.bias', 'encoder.roberta.encoder.layer.1.intermediate.dense.weight', 'encoder.roberta.encoder.layer.1.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.1.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.1.output.dense.bias', 'encoder.roberta.encoder.layer.1.output.dense.weight', 'encoder.roberta.encoder.layer.10.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.10.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.10.attention.output.dense.bias', 'encoder.roberta.encoder.layer.10.attention.output.dense.weight', 'encoder.roberta.encoder.layer.10.attention.self.key.bias', 'encoder.roberta.encoder.layer.10.attention.self.key.weight', 'encoder.roberta.encoder.layer.10.attention.self.query.bias', 'encoder.roberta.encoder.layer.10.attention.self.query.weight', 'encoder.roberta.encoder.layer.10.attention.self.value.bias', 'encoder.roberta.encoder.layer.10.attention.self.value.weight', 'encoder.roberta.encoder.layer.10.intermediate.dense.bias', 'encoder.roberta.encoder.layer.10.intermediate.dense.weight', 'encoder.roberta.encoder.layer.10.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.10.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.10.output.dense.bias', 'encoder.roberta.encoder.layer.10.output.dense.weight', 'encoder.roberta.encoder.layer.11.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.11.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.11.attention.output.dense.bias', 'encoder.roberta.encoder.layer.11.attention.output.dense.weight', 'encoder.roberta.encoder.layer.11.attention.self.key.bias', 'encoder.roberta.encoder.layer.11.attention.self.key.weight', 'encoder.roberta.encoder.layer.11.attention.self.query.bias', 'encoder.roberta.encoder.layer.11.attention.self.query.weight', 'encoder.roberta.encoder.layer.11.attention.self.value.bias', 'encoder.roberta.encoder.layer.11.attention.self.value.weight', 'encoder.roberta.encoder.layer.11.intermediate.dense.bias', 'encoder.roberta.encoder.layer.11.intermediate.dense.weight', 'encoder.roberta.encoder.layer.11.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.11.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.11.output.dense.bias', 'encoder.roberta.encoder.layer.11.output.dense.weight', 'encoder.roberta.encoder.layer.2.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.2.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.2.attention.output.dense.bias', 'encoder.roberta.encoder.layer.2.attention.output.dense.weight', 'encoder.roberta.encoder.layer.2.attention.self.key.bias', 'encoder.roberta.encoder.layer.2.attention.self.key.weight', 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'encoder.roberta.encoder.layer.3.attention.self.query.bias', 'encoder.roberta.encoder.layer.3.attention.self.query.weight', 'encoder.roberta.encoder.layer.3.attention.self.value.bias', 'encoder.roberta.encoder.layer.3.attention.self.value.weight', 'encoder.roberta.encoder.layer.3.intermediate.dense.bias', 'encoder.roberta.encoder.layer.3.intermediate.dense.weight', 'encoder.roberta.encoder.layer.3.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.3.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.3.output.dense.bias', 'encoder.roberta.encoder.layer.3.output.dense.weight', 'encoder.roberta.encoder.layer.4.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.4.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.4.attention.output.dense.bias', 'encoder.roberta.encoder.layer.4.attention.output.dense.weight', 'encoder.roberta.encoder.layer.4.attention.self.key.bias', 'encoder.roberta.encoder.layer.4.attention.self.key.weight', 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'encoder.roberta.encoder.layer.6.attention.self.query.bias', 'encoder.roberta.encoder.layer.6.attention.self.query.weight', 'encoder.roberta.encoder.layer.6.attention.self.value.bias', 'encoder.roberta.encoder.layer.6.attention.self.value.weight', 'encoder.roberta.encoder.layer.6.intermediate.dense.bias', 'encoder.roberta.encoder.layer.6.intermediate.dense.weight', 'encoder.roberta.encoder.layer.6.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.6.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.6.output.dense.bias', 'encoder.roberta.encoder.layer.6.output.dense.weight', 'encoder.roberta.encoder.layer.7.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.7.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.7.attention.output.dense.bias', 'encoder.roberta.encoder.layer.7.attention.output.dense.weight', 'encoder.roberta.encoder.layer.7.attention.self.key.bias', 'encoder.roberta.encoder.layer.7.attention.self.key.weight', 'encoder.roberta.encoder.layer.7.attention.self.query.bias', 'encoder.roberta.encoder.layer.7.attention.self.query.weight', 'encoder.roberta.encoder.layer.7.attention.self.value.bias', 'encoder.roberta.encoder.layer.7.attention.self.value.weight', 'encoder.roberta.encoder.layer.7.intermediate.dense.bias', 'encoder.roberta.encoder.layer.7.intermediate.dense.weight', 'encoder.roberta.encoder.layer.7.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.7.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.7.output.dense.bias', 'encoder.roberta.encoder.layer.7.output.dense.weight', 'encoder.roberta.encoder.layer.8.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.8.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.8.attention.output.dense.bias', 'encoder.roberta.encoder.layer.8.attention.output.dense.weight', 'encoder.roberta.encoder.layer.8.attention.self.key.bias', 'encoder.roberta.encoder.layer.8.attention.self.key.weight', 'encoder.roberta.encoder.layer.8.attention.self.query.bias', 'encoder.roberta.encoder.layer.8.attention.self.query.weight', 'encoder.roberta.encoder.layer.8.attention.self.value.bias', 'encoder.roberta.encoder.layer.8.attention.self.value.weight', 'encoder.roberta.encoder.layer.8.intermediate.dense.bias', 'encoder.roberta.encoder.layer.8.intermediate.dense.weight', 'encoder.roberta.encoder.layer.8.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.8.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.8.output.dense.bias', 'encoder.roberta.encoder.layer.8.output.dense.weight', 'encoder.roberta.encoder.layer.9.attention.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.9.attention.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.9.attention.output.dense.bias', 'encoder.roberta.encoder.layer.9.attention.output.dense.weight', 'encoder.roberta.encoder.layer.9.attention.self.key.bias', 'encoder.roberta.encoder.layer.9.attention.self.key.weight', 'encoder.roberta.encoder.layer.9.attention.self.query.bias', 'encoder.roberta.encoder.layer.9.attention.self.query.weight', 'encoder.roberta.encoder.layer.9.attention.self.value.bias', 'encoder.roberta.encoder.layer.9.attention.self.value.weight', 'encoder.roberta.encoder.layer.9.intermediate.dense.bias', 'encoder.roberta.encoder.layer.9.intermediate.dense.weight', 'encoder.roberta.encoder.layer.9.output.LayerNorm.bias', 'encoder.roberta.encoder.layer.9.output.LayerNorm.weight', 'encoder.roberta.encoder.layer.9.output.dense.bias', 'encoder.roberta.encoder.layer.9.output.dense.weight']\n",
      "- This IS expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
      "- This IS NOT expected if you are initializing RobertaForSequenceClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n",
      "Some weights of RobertaForSequenceClassification were not initialized from the model checkpoint at eunJ/codebert_vulnerability_detector_multi and are newly initialized: ['classifier.dense.bias', 'classifier.dense.weight', 'classifier.out_proj.bias', 'classifier.out_proj.weight', 'embeddings.LayerNorm.bias', 'embeddings.LayerNorm.weight', 'embeddings.position_embeddings.weight', 'embeddings.token_type_embeddings.weight', 'embeddings.word_embeddings.weight', 'encoder.layer.0.attention.output.LayerNorm.bias', 'encoder.layer.0.attention.output.LayerNorm.weight', 'encoder.layer.0.attention.output.dense.bias', 'encoder.layer.0.attention.output.dense.weight', 'encoder.layer.0.attention.self.key.bias', 'encoder.layer.0.attention.self.key.weight', 'encoder.layer.0.attention.self.query.bias', 'encoder.layer.0.attention.self.query.weight', 'encoder.layer.0.attention.self.value.bias', 'encoder.layer.0.attention.self.value.weight', 'encoder.layer.0.intermediate.dense.bias', 'encoder.layer.0.intermediate.dense.weight', 'encoder.layer.0.output.LayerNorm.bias', 'encoder.layer.0.output.LayerNorm.weight', 'encoder.layer.0.output.dense.bias', 'encoder.layer.0.output.dense.weight', 'encoder.layer.1.attention.output.LayerNorm.bias', 'encoder.layer.1.attention.output.LayerNorm.weight', 'encoder.layer.1.attention.output.dense.bias', 'encoder.layer.1.attention.output.dense.weight', 'encoder.layer.1.attention.self.key.bias', 'encoder.layer.1.attention.self.key.weight', 'encoder.layer.1.attention.self.query.bias', 'encoder.layer.1.attention.self.query.weight', 'encoder.layer.1.attention.self.value.bias', 'encoder.layer.1.attention.self.value.weight', 'encoder.layer.1.intermediate.dense.bias', 'encoder.layer.1.intermediate.dense.weight', 'encoder.layer.1.output.LayerNorm.bias', 'encoder.layer.1.output.LayerNorm.weight', 'encoder.layer.1.output.dense.bias', 'encoder.layer.1.output.dense.weight', 'encoder.layer.10.attention.output.LayerNorm.bias', 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'encoder.layer.2.intermediate.dense.weight', 'encoder.layer.2.output.LayerNorm.bias', 'encoder.layer.2.output.LayerNorm.weight', 'encoder.layer.2.output.dense.bias', 'encoder.layer.2.output.dense.weight', 'encoder.layer.3.attention.output.LayerNorm.bias', 'encoder.layer.3.attention.output.LayerNorm.weight', 'encoder.layer.3.attention.output.dense.bias', 'encoder.layer.3.attention.output.dense.weight', 'encoder.layer.3.attention.self.key.bias', 'encoder.layer.3.attention.self.key.weight', 'encoder.layer.3.attention.self.query.bias', 'encoder.layer.3.attention.self.query.weight', 'encoder.layer.3.attention.self.value.bias', 'encoder.layer.3.attention.self.value.weight', 'encoder.layer.3.intermediate.dense.bias', 'encoder.layer.3.intermediate.dense.weight', 'encoder.layer.3.output.LayerNorm.bias', 'encoder.layer.3.output.LayerNorm.weight', 'encoder.layer.3.output.dense.bias', 'encoder.layer.3.output.dense.weight', 'encoder.layer.4.attention.output.LayerNorm.bias', 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'encoder.layer.5.attention.self.query.bias', 'encoder.layer.5.attention.self.query.weight', 'encoder.layer.5.attention.self.value.bias', 'encoder.layer.5.attention.self.value.weight', 'encoder.layer.5.intermediate.dense.bias', 'encoder.layer.5.intermediate.dense.weight', 'encoder.layer.5.output.LayerNorm.bias', 'encoder.layer.5.output.LayerNorm.weight', 'encoder.layer.5.output.dense.bias', 'encoder.layer.5.output.dense.weight', 'encoder.layer.6.attention.output.LayerNorm.bias', 'encoder.layer.6.attention.output.LayerNorm.weight', 'encoder.layer.6.attention.output.dense.bias', 'encoder.layer.6.attention.output.dense.weight', 'encoder.layer.6.attention.self.key.bias', 'encoder.layer.6.attention.self.key.weight', 'encoder.layer.6.attention.self.query.bias', 'encoder.layer.6.attention.self.query.weight', 'encoder.layer.6.attention.self.value.bias', 'encoder.layer.6.attention.self.value.weight', 'encoder.layer.6.intermediate.dense.bias', 'encoder.layer.6.intermediate.dense.weight', 'encoder.layer.6.output.LayerNorm.bias', 'encoder.layer.6.output.LayerNorm.weight', 'encoder.layer.6.output.dense.bias', 'encoder.layer.6.output.dense.weight', 'encoder.layer.7.attention.output.LayerNorm.bias', 'encoder.layer.7.attention.output.LayerNorm.weight', 'encoder.layer.7.attention.output.dense.bias', 'encoder.layer.7.attention.output.dense.weight', 'encoder.layer.7.attention.self.key.bias', 'encoder.layer.7.attention.self.key.weight', 'encoder.layer.7.attention.self.query.bias', 'encoder.layer.7.attention.self.query.weight', 'encoder.layer.7.attention.self.value.bias', 'encoder.layer.7.attention.self.value.weight', 'encoder.layer.7.intermediate.dense.bias', 'encoder.layer.7.intermediate.dense.weight', 'encoder.layer.7.output.LayerNorm.bias', 'encoder.layer.7.output.LayerNorm.weight', 'encoder.layer.7.output.dense.bias', 'encoder.layer.7.output.dense.weight', 'encoder.layer.8.attention.output.LayerNorm.bias', 'encoder.layer.8.attention.output.LayerNorm.weight', 'encoder.layer.8.attention.output.dense.bias', 'encoder.layer.8.attention.output.dense.weight', 'encoder.layer.8.attention.self.key.bias', 'encoder.layer.8.attention.self.key.weight', 'encoder.layer.8.attention.self.query.bias', 'encoder.layer.8.attention.self.query.weight', 'encoder.layer.8.attention.self.value.bias', 'encoder.layer.8.attention.self.value.weight', 'encoder.layer.8.intermediate.dense.bias', 'encoder.layer.8.intermediate.dense.weight', 'encoder.layer.8.output.LayerNorm.bias', 'encoder.layer.8.output.LayerNorm.weight', 'encoder.layer.8.output.dense.bias', 'encoder.layer.8.output.dense.weight', 'encoder.layer.9.attention.output.LayerNorm.bias', 'encoder.layer.9.attention.output.LayerNorm.weight', 'encoder.layer.9.attention.output.dense.bias', 'encoder.layer.9.attention.output.dense.weight', 'encoder.layer.9.attention.self.key.bias', 'encoder.layer.9.attention.self.key.weight', 'encoder.layer.9.attention.self.query.bias', 'encoder.layer.9.attention.self.query.weight', 'encoder.layer.9.attention.self.value.bias', 'encoder.layer.9.attention.self.value.weight', 'encoder.layer.9.intermediate.dense.bias', 'encoder.layer.9.intermediate.dense.weight', 'encoder.layer.9.output.LayerNorm.bias', 'encoder.layer.9.output.LayerNorm.weight', 'encoder.layer.9.output.dense.bias', 'encoder.layer.9.output.dense.weight']\n",
      "You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.\n"
     ]
    }
   ],
   "source": [
    "# Load model directly\n",
    "from transformers import AutoTokenizer, AutoModelForSequenceClassification\n",
    "\n",
    "tokenizer = AutoTokenizer.from_pretrained(\"eunJ/codebert_vulnerability_detector_multi\")\n",
    "model = AutoModelForSequenceClassification.from_pretrained(\"eunJ/codebert_vulnerability_detector_multi\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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