{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "291ab1c2-0ff0-41bf-ba56-e0c5ff2cde92",
   "metadata": {},
   "outputs": [],
   "source": [
    "AUTHOR = 'your-user-name'\n",
    "SEARCH_STRING = 'autotrain-autotrain-mistral'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "1c68cc85-bed7-4270-8745-87f6fc7cb8d0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2bfbe27ca548439a860e624431f1c90d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from huggingface_hub import login\n",
    "\n",
    "login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7f96de54-43ac-4bd4-a65f-15d4046914c7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-FA\n",
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-FA-R\n",
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-R-FA\n",
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-FA-sg\n",
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-FA-R-sg\n",
      "Deleting:\tderek-thomas/autotrain-autotrain-mistral-v03-prompt-experiment-mc-R-FA-sg\n"
     ]
    }
   ],
   "source": [
    "from huggingface_hub import list_spaces, delete_repo\n",
    "\n",
    "# Retrieve your spaces\n",
    "spaces = list_spaces(author=AUTHOR)\n",
    "\n",
    "# Print space names\n",
    "for space in spaces:\n",
    "    if SEARCH_STRING in space.id:\n",
    "        delete_repo(repo_id=space.id, repo_type=\"space\")\n",
    "        print(f\"Deleting:\\t{space.id}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a9f439dd-e8d6-44d8-b68c-eca1f6ae40ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "derek-thomas/dreambooth-training-hannah\n",
      "derek-thomas/dreambooth-training-hannah-v21-v2\n",
      "derek-thomas/derek-thomas-dreambooth-training-hannah-v15-v3\n",
      "derek-thomas/dreambooth-training-hannah-v15-v4\n",
      "derek-thomas/dreambooth-training-hannah-v15-v4-1672074451\n",
      "derek-thomas/dreambooth-training-hannah-v15-v5\n",
      "derek-thomas/dreambooth-training-hannah-v15-v6\n",
      "derek-thomas/xlm-roberta-base-finetuned-panx-de\n",
      "derek-thomas/lal-parser\n",
      "derek-thomas/naughtyformer\n",
      "derek-thomas/ibert-quantized\n",
      "derek-thomas/t5-end2end-question-generation\n",
      "derek-thomas/distilhubert-finetuned-gtzan\n",
      "derek-thomas/distilhubert-finetuned-gtzan-efficient\n",
      "derek-thomas/Hubert_emotion-finetuned-gtzan-efficient\n",
      "derek-thomas/hubert-large-ll60k-finetuned-gtzan-efficient\n",
      "derek-thomas/hubert-base-ls960-finetuned-gtzan-efficient\n",
      "derek-thomas/hubert-base-ls960-finetuned-gtzan-efficient-label-smoothed\n",
      "derek-thomas/whisper-tiny-polyai-english\n",
      "derek-thomas/speecht5_tts-finetuned_voxpopuli_lt\n",
      "derek-thomas/jais-13b-chat-hf\n",
      "derek-thomas/sd-class-butterflies-32\n",
      "derek-thomas/speecht5_tts-finetuned_voxpopuli_hr\n",
      "derek-thomas/speecht5_finetuned_voxpopuli_hr\n",
      "derek-thomas/tgi-benchmark-notebooks\n",
      "derek-thomas/Meta-Llama-3-8B-Instruct\n",
      "derek-thomas/tgi-notebooks-optimization\n",
      "derek-thomas/trained-flux\n",
      "derek-thomas/hannah-dreambooth\n",
      "derek-thomas/hannah-dreambooth-2\n",
      "derek-thomas/hannah-book-creation\n",
      "derek-thomas/hannah-dreambooth-3\n",
      "derek-thomas/hannah-dreambooth-4\n",
      "derek-thomas/bert-ner-openvino\n",
      "derek-thomas/hannah-dreambooth-5\n",
      "derek-thomas/prompt-experiment-sft-multiple-choice\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-R-FA-sg\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-R-FA-sg\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-R\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-R\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-sg\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-sg\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-R-FA\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-R-FA\n",
      "derek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-R-sg\n",
      "Deleting:\tderek-thomas/autotrain-mistral-v03-prompt-experiment-mc-FA-R-sg\n"
     ]
    }
   ],
   "source": [
    "from huggingface_hub import list_models\n",
    "\n",
    "# Retrieve your spaces\n",
    "models = list_models(author=AUTHOR)\n",
    "\n",
    "# Print space names\n",
    "for model in models:\n",
    "    # print(model.id)\n",
    "    if 'autotrain-mistral' in model.id:\n",
    "        delete_repo(repo_id=model.id, repo_type=\"model\")\n",
    "        print(f\"Deleting:\\t{model.id}\")\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8064d700-e880-4022-9c91-55ef60c493cd",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}