.ipynb_checkpoints/env_ini-checkpoint.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e3fbdac5-cd38-4e41-b5d2-d9d112b4ac1b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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      "Collecting datasets\n",
      "  Downloading http://mirrors.aliyun.com/pypi/packages/d7/84/0df6c5981f5fc722381662ff8cfbdf8aad64bec875f75d80b55bfef394ce/datasets-3.2.0-py3-none-any.whl (480 kB)\n",
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      "Collecting pyarrow>=15.0.0 (from datasets)\n",
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      "\u001b[?25hCollecting multiprocess<0.70.17 (from datasets)\n",
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      "Installing collected packages: pytz, xxhash, tzdata, tqdm, requests, pyarrow, propcache, multidict, frozenlist, dill, aiohappyeyeballs, yarl, pandas, multiprocess, aiosignal, aiohttp, datasets\n",
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      "  Attempting uninstall: requests\n",
      "    Found existing installation: requests 2.31.0\n",
      "    Uninstalling requests-2.31.0:\n",
      "      Successfully uninstalled requests-2.31.0\n",
      "Successfully installed aiohappyeyeballs-2.4.4 aiohttp-3.11.11 aiosignal-1.3.2 datasets-3.2.0 dill-0.3.8 frozenlist-1.5.0 multidict-6.1.0 multiprocess-0.70.16 pandas-2.2.3 propcache-0.2.1 pyarrow-18.1.0 pytz-2024.2 requests-2.32.3 tqdm-4.67.1 tzdata-2024.2 xxhash-3.5.0 yarl-1.18.3\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!pip install transformers sentencepiece google protobuf deepspeed peft datasets "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4e906370-40c7-4f6b-a700-f183a9308c78",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "https://hf-mirror.com\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "\n",
    "# 设置环境变量, autodl专区 其他idc\n",
    "os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'\n",
    "\n",
    "# 打印环境变量以确认设置成功\n",
    "print(os.environ.get('HF_ENDPOINT'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "ecc98529-6581-41d2-a876-23ce5187cae7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import subprocess\n",
    "import os\n",
    "# 设置环境变量, autodl一般区域\n",
    "result = subprocess.run('bash -c \"source /etc/network_turbo && env | grep proxy\"', shell=True, capture_output=True, text=True)\n",
    "output = result.stdout\n",
    "for line in output.splitlines():\n",
    "    if '=' in line:\n",
    "        var, value = line.split('=', 1)\n",
    "        os.environ[var] = value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b01fc372-33af-46e5-8c0e-8bccba7237ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "from datasets import load_dataset\n",
    "# load ~11k samples from promoters prediction dataset\n",
    "dataset = load_dataset(\"dnagpt/dna_core_promoter\")['train'].train_test_split(test_size=0.1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "136c38d4-bd0f-4ecd-9165-2fd5b5207c1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatasetDict({\n",
       "    train: Dataset({\n",
       "        features: ['sequence', 'label'],\n",
       "        num_rows: 53276\n",
       "    })\n",
       "    test: Dataset({\n",
       "        features: ['sequence', 'label'],\n",
       "        num_rows: 5920\n",
       "    })\n",
       "})"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28acb64e-8d1e-4482-a515-344a2e0344c4",
   "metadata": {},
   "source": [
    "## lfs 支持\n",
    "apt-get update\n",
    "\n",
    "apt-get install git-lfs\n",
    "\n",
    "git lfs install"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3d3cefb0-1eed-4f23-8591-1990f7113820",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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