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add package versions to the top of the notebook

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rasbt
2024-01-01 19:41:18 +01:00
parent c17a8c2d8d
commit ea4b6c4e5f
3 changed files with 88 additions and 1 deletions
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33
ch02/01_main-chapter-code/ch02.ipynb
View File

@@ -8,6 +8,39 @@
"# Chapter 2: Working with Text" "# Chapter 2: Working with Text"
] ]
}, },
{
"cell_type": "markdown",
"id": "76d5d2c0-cba8-404e-9bf3-71a218cae3cf",
"metadata": {},
"source": [
"Packages that are being used in this notebook:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "4d1305cf-12d5-46fe-a2c9-36fb71c5b3d3",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch version: 2.0.1\n",
"tiktoken version: 0.5.1\n"
]
}
],
"source": [
"from importlib.metadata import version\n",
"\n",
"import tiktoken\n",
"import torch\n",
"\n",
"print(\"torch version:\", version(\"torch\"))\n",
"print(\"tiktoken version:\", version(\"tiktoken\"))"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "2417139b-2357-44d2-bd67-23f5d7f52ae7", "id": "2417139b-2357-44d2-bd67-23f5d7f52ae7",

25
ch02/01_main-chapter-code/dataloader.ipynb
View File

@@ -18,6 +18,31 @@
"This notebook contains the main takeaway, the data loading pipeline without the intermediate steps." "This notebook contains the main takeaway, the data loading pipeline without the intermediate steps."
] ]
}, },
{
"cell_type": "code",
"execution_count": 2,
"id": "93804da5-372b-45ff-9ef4-8398ba1dd78e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch version: 2.0.1\n",
"tiktoken version: 0.5.1\n"
]
}
],
"source": [
"from importlib.metadata import version\n",
"\n",
"import tiktoken\n",
"import torch\n",
"\n",
"print(\"torch version:\", version(\"torch\"))\n",
"print(\"tiktoken version:\", version(\"tiktoken\"))"
]
},
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 2,

31
ch03/01_main-chapter-code/ch03.ipynb
View File

@@ -8,6 +8,35 @@
"# Chapter 3: Understanding Attention Mechanisms" "# Chapter 3: Understanding Attention Mechanisms"
] ]
}, },
{
"cell_type": "markdown",
"id": "c29bcbe8-a034-43a2-b557-997b03c9882d",
"metadata": {},
"source": [
"Packages that are being used in this notebook:"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "e58f33e8-5dc9-4dd5-ab84-5a011fa11d92",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"torch version: 2.0.1\n"
]
}
],
"source": [
"from importlib.metadata import version\n",
"import torch\n",
"\n",
"print(\"torch version:\", version(\"torch\"))"
]
},
{ {
"cell_type": "markdown", "cell_type": "markdown",
"id": "ecc4dcee-34ea-4c05-9085-2f8887f70363", "id": "ecc4dcee-34ea-4c05-9085-2f8887f70363",
@@ -1760,7 +1789,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.10.6" "version": "3.11.4"
} }
}, },
"nbformat": 4, "nbformat": 4,