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{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"id": "7208d1dc-06eb-457e-bcf1-fb0d6cc4d39e",
"metadata": {},
"outputs": [],
"source": [
"import zipfile\n",
"with zipfile.ZipFile('training_args.bin', 'r') as zip_ref:\n",
" zip_ref.extractall('./unzipped_content')"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "6acc7c33-58c2-41af-a2ed-479b77dde45e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"<__main__.TrainingArguments object at 0x7f20c437c8b0>\n"
]
}
],
"source": [
"import pickle\n",
"class TrainingArguments:\n",
" pass\n",
"with open('./unzipped_content/training_args/data.pkl', 'rb') as f:\n",
" data = pickle.load(f)\n",
"print(data)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "59e6f842-4e9f-497b-a2ae-6c972782aabb",
"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": "3.10.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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