{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aa7a358a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import CamembertTokenizer, CamembertForMaskedLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c7e39f7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer = CamembertTokenizer.from_pretrained(\"camembert-base\")\n",
    "model = CamembertForMaskedLM.from_pretrained(\"camembert-base\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "30ca41f5",
   "metadata": {},
   "outputs": [],
   "source": [
    "model.save_pretrained(\"./\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fff6346c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import notebook_login"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b8b1722",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Login successful\n",
      "Your token has been saved to C:\\Users\\1seba/.huggingface/token\n",
      "\u001b[1m\u001b[31mAuthenticated through git-credential store but this isn't the helper defined on your machine.\n",
      "You might have to re-authenticate when pushing to the Hugging Face Hub. Run the following command in your terminal in case you want to set this credential helper as the default\n",
      "\n",
      "git config --global credential.helper store\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "notebook_login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e50eaa96",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import TrainingArguments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "abdb0496",
   "metadata": {},
   "outputs": [],
   "source": [
    "# training_args = TrainingArguments(\n",
    "#     \"bert-finetuned-mrpc\", save_strategy=\"epoch\", push_to_hub=True, hub_model_id=\"SebastianS/dummy\"\n",
    "# )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "33d7f045",
   "metadata": {},
   "outputs": [],
   "source": [
    "from transformers import AutoModelForMaskedLM, AutoTokenizer\n",
    "checkpoint = \"camembert-base\"\n",
    "model = AutoModelForMaskedLM.from_pretrained(checkpoint)\n",
    "tokenizer = AutoTokenizer.from_pretrained(checkpoint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7ce0651f",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Anaconda\\envs\\AI\\lib\\site-packages\\huggingface_hub\\hf_api.py:723: FutureWarning: `create_repo` now takes `token` as an optional positional argument. Be sure to adapt your code!\n",
      "  warnings.warn(\n",
      "Cloning https://huggingface.co/SebastianS/dummy-model into local empty directory.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2dc66be4581641e2992f3fd5821d4147",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Upload file pytorch_model.bin:   0%|          | 32.0k/422M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "To https://huggingface.co/SebastianS/dummy-model\n",
      "   ca0d412..41a980c  main -> main\n",
      "\n"
     ]
    }
   ],
   "source": [
    "model.push_to_hub(\"dummy-model\", token=\"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\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ed8312cb",
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import (\n",
    "    # User management\n",
    "    login,\n",
    "    logout,\n",
    "    whoami,\n",
    "\n",
    "    # Repository creation and management\n",
    "    create_repo,\n",
    "    delete_repo,\n",
    "    update_repo_visibility,\n",
    "\n",
    "    # And some methods to retrieve/change information about the content\n",
    "    list_models,\n",
    "    list_datasets,\n",
    "    list_metrics,\n",
    "    list_repo_files,\n",
    "    upload_file,\n",
    "    delete_file,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "71af81a5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://huggingface.co/SebastianS/dummy-model'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "create_repo(\"dummy-model\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1d5fd185",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'https://huggingface.co/SebastianS/dummy-model/blob/main/ch3.ipynb'"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "upload_file(\"./ch3.ipynb\", path_in_repo=\"ch3.ipynb\", repo_id=\"SebastianS/dummy-model\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "02a3cc53",
   "metadata": {},
   "outputs": [],
   "source": [
    "from huggingface_hub import Repository"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5122830e",
   "metadata": {},
   "outputs": [],
   "source": [
    "repo = Repository(\"../sharing\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06ef92c9",
   "metadata": {},
   "outputs": [],
   "source": [
    "repo.git_pull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3442a913",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "To https://huggingface.co/SebastianS/dummy-model\n",
      "   91d9c6c..bc13ef6  main -> main\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'https://huggingface.co/SebastianS/dummy-model/commit/bc13ef64436e852b999af0315b661eebf6fd6a42'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "repo.git_add()\n",
    "repo.git_commit(\"added this file\")\n",
    "repo.git_push()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f036dfdd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "AI",
   "language": "python",
   "name": "ai"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}