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{
"cells": [
{
"cell_type": "markdown",
"id": "bc2f1fa7-1431-4c41-a3e0-5e6d42a1f536",
"metadata": {},
"source": [
"## My first notebook for HF"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "3b1e97c6-6ce6-4c2a-8ce5-9290dc66d7f4",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"24"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"12 + 12 "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e1d7251d-6fbe-47f5-bb4d-afa11d0f9e4f",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda env:CiGi]",
"language": "python",
"name": "conda-env-CiGi-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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