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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3cb8b683-840f-4981-af83-018f067c5c94",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Defaulting to user installation because normal site-packages is not writeable\n",
+      "Collecting transformers\n",
+      "  Downloading transformers-4.47.0-py3-none-any.whl (10.1 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m10.1/10.1 MB\u001b[0m \u001b[31m59.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m0:01\u001b[0m\n",
+      "\u001b[?25hCollecting huggingface-hub<1.0,>=0.24.0\n",
+      "  Downloading huggingface_hub-0.27.0-py3-none-any.whl (450 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m450.5/450.5 KB\u001b[0m \u001b[31m36.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hCollecting tqdm>=4.27\n",
+      "  Downloading tqdm-4.67.1-py3-none-any.whl (78 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m78.5/78.5 KB\u001b[0m \u001b[31m12.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: numpy>=1.17 in /usr/lib/python3/dist-packages (from transformers) (1.21.5)\n",
+      "Requirement already satisfied: filelock in /usr/lib/python3/dist-packages (from transformers) (3.6.0)\n",
+      "Requirement already satisfied: packaging>=20.0 in /usr/lib/python3/dist-packages (from transformers) (21.3)\n",
+      "Collecting safetensors>=0.4.1\n",
+      "  Downloading safetensors-0.4.5-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (435 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m435.0/435.0 KB\u001b[0m \u001b[31m49.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hCollecting tokenizers<0.22,>=0.21\n",
+      "  Downloading tokenizers-0.21.0-cp39-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (3.0 MB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.0/3.0 MB\u001b[0m \u001b[31m71.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m:00:01\u001b[0m\n",
+      "\u001b[?25hCollecting regex!=2019.12.17\n",
+      "  Downloading regex-2024.11.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (781 kB)\n",
+      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m781.7/781.7 KB\u001b[0m \u001b[31m59.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+      "\u001b[?25hRequirement already satisfied: requests in /usr/lib/python3/dist-packages (from transformers) (2.25.1)\n",
+      "Requirement already satisfied: pyyaml>=5.1 in /usr/lib/python3/dist-packages (from transformers) (5.4.1)\n",
+      "Requirement already satisfied: fsspec>=2023.5.0 in /usr/lib/python3/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (2024.3.1)\n",
+      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/lib/python3/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (4.9.0)\n",
+      "Installing collected packages: tqdm, safetensors, regex, huggingface-hub, tokenizers, transformers\n",
+      "Successfully installed huggingface-hub-0.27.0 regex-2024.11.6 safetensors-0.4.5 tokenizers-0.21.0 tqdm-4.67.1 transformers-4.47.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "!pip install transformers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "e3672a9c-c8ab-4d13-9498-5450ca3d95c3",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "README.md\t\t\t  model-00002-of-00004.safetensors\n",
+      "Untitled.ipynb\t\t\t  model-00003-of-00004.safetensors\n",
+      "Untitled1.ipynb\t\t\t  model-00004-of-00004.safetensors\n",
+      "added_tokens.json\t\t  model.safetensors.index.json\n",
+      "checkpoint-120\t\t\t  pytorch_model-00001-of-00002.bin\n",
+      "checkpoint-40\t\t\t  pytorch_model-00002-of-00002.bin\n",
+      "checkpoint-80\t\t\t  pytorch_model.bin.index.json\n",
+      "checkpoint-90\t\t\t  special_tokens_map.json\n",
+      "config.json\t\t\t  tokenizer.json\n",
+      "generation_config.json\t\t  tokenizer_config.json\n",
+      "merges.txt\t\t\t  training_args.bin\n",
+      "model-00001-of-00004.safetensors  vocab.json\n"
+     ]
+    }
+   ],
+   "source": [
+    "!ls"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "4a7a57e8-6bc3-4d15-88ac-942e8347b7cd",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Loading checkpoint shards: 100%|██████████| 4/4 [00:31<00:00,  7.82s/it]\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model and tokenizer loaded successfully!\n"
+     ]
+    }
+   ],
+   "source": [
+    "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
+    "\n",
+    "# Path to your local checkpoint directory\n",
+    "checkpoint_path = \"checkpoint-80\"\n",
+    "\n",
+    "# Load the model and tokenizer\n",
+    "model = AutoModelForCausalLM.from_pretrained(checkpoint_path)\n",
+    "tokenizer = AutoTokenizer.from_pretrained(checkpoint_path)\n",
+    "\n",
+    "# Verify loading\n",
+    "print(\"Model and tokenizer loaded successfully!\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "c3b9fcde-a4f3-4217-ba9a-cf799800cd63",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "RepoUrl('https://huggingface.co/neginashz/checkpoint-80', endpoint='https://huggingface.co', repo_type='model', repo_id='neginashz/checkpoint-80')"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from huggingface_hub import create_repo\n",
+    "\n",
+    "create_repo(repo_id=\"neginashz/checkpoint-80\", private=False, exist_ok=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e19721a-b69c-42e6-a740-04e4b8ded4fa",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
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+     ]
+    }
+   ],
+   "source": [
+    "model.push_to_hub(\"neginashz/checkpoint-80\")\n",
+    "tokenizer.push_to_hub(\"neginashz/checkpoint-80\")\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
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+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
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+ },
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+ "nbformat_minor": 5
+}