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{
"cells": [
{
"cell_type": "markdown",
"id": "2b9b275c-d6e1-4c47-bf11-9cefec95395e",
"metadata": {},
"source": [
"# My first notebook for HF"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "5ffd658f-56f2-4a5b-b45b-bf839ed3f0b3",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"24"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"12+12"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d96908fd-45c0-4d80-9164-eb15f1df62f5",
"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": "3.11.7"
}
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"nbformat": 4,
"nbformat_minor": 5
}
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