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v0.4.1
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antoinedaurat committed Apr 13, 2023
1 parent 75fe77d commit 2752c30
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Showing 13 changed files with 155 additions and 154 deletions.
24 changes: 12 additions & 12 deletions demos/colab/clusterizer.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "f56cd9d5",
"id": "b4911e01",
"metadata": {},
"source": [
"## Connect to your GDrive \n",
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{
"cell_type": "code",
"execution_count": null,
"id": "3e9c6c48",
"id": "2e0b116f",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "1c52df16",
"id": "b1c4eb3d",
"metadata": {},
"source": [
"### Install `mimikit`"
Expand All @@ -35,18 +35,18 @@
{
"cell_type": "code",
"execution_count": null,
"id": "3b5f05e9",
"id": "36b5fb3a",
"metadata": {},
"outputs": [],
"source": [
"%pip uninstall torchtext -y\n",
"%pip install mimikit[colab]==0.4.0"
"%pip install mimikit[colab]==0.4.1"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "5ddc14ef",
"id": "3a8ecfb2",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -56,7 +56,7 @@
},
{
"cell_type": "markdown",
"id": "8f942f26",
"id": "d659fb79",
"metadata": {},
"source": [
"### Launch the app"
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{
"cell_type": "code",
"execution_count": null,
"id": "31d590e9",
"id": "ad66bdfe",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "abbf5477",
"id": "3af6dab9",
"metadata": {},
"source": [
"### Note"
]
},
{
"cell_type": "markdown",
"id": "af6ffd81",
"id": "27fbf83f",
"metadata": {},
"source": [
"\n",
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},
{
"cell_type": "markdown",
"id": "46d90db5",
"id": "9c8ddf05",
"metadata": {},
"source": [
"----------------------------"
]
},
{
"cell_type": "markdown",
"id": "1c9410c3",
"id": "85c6618e",
"metadata": {},
"source": [
"<img src=\"https://ktonal.com/k-circle-bw.png\" alt=\"logo\" width=\"75\"/>"
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36 changes: 18 additions & 18 deletions demos/colab/ensemble-generator.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "4d6847a8",
"id": "aa25cf79",
"metadata": {},
"source": [
"## Connect to your GDrive \n",
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{
"cell_type": "code",
"execution_count": null,
"id": "0878a83d",
"id": "9d88b773",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -26,7 +26,7 @@
},
{
"cell_type": "markdown",
"id": "34fd489a",
"id": "3b97fb75",
"metadata": {},
"source": [
"### Install `mimikit`"
Expand All @@ -35,18 +35,18 @@
{
"cell_type": "code",
"execution_count": null,
"id": "d4563626",
"id": "1d0f4455",
"metadata": {},
"outputs": [],
"source": [
"%pip uninstall torchtext -y\n",
"%pip install mimikit[colab]==0.4.0"
"%pip install mimikit[colab]==0.4.1"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d7487a38",
"id": "01b4231c",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "3b57d9ac",
"id": "ca5a5db3",
"metadata": {},
"source": [
"### imports"
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{
"cell_type": "code",
"execution_count": null,
"id": "1b300395",
"id": "81c9e0e7",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "1d9fd257",
"id": "387c7d49",
"metadata": {},
"source": [
"### Get some checkpoints"
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{
"cell_type": "code",
"execution_count": null,
"id": "99c83177",
"id": "fa7f245d",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "ff0ae09d",
"id": "513849d6",
"metadata": {},
"source": [
"### Get the prompts from which to generate"
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{
"cell_type": "code",
"execution_count": null,
"id": "9260ea82",
"id": "eb00cdac",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "420fc276",
"id": "5990a26a",
"metadata": {},
"source": [
"### Define a pattern of models"
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{
"cell_type": "code",
"execution_count": null,
"id": "1c5bcd8d",
"id": "7369f0be",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "58c0d003",
"id": "91b5e4dd",
"metadata": {},
"source": [
"### Generate"
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{
"cell_type": "code",
"execution_count": null,
"id": "ffd5a740",
"id": "d65af6b4",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "d483d86b",
"id": "f4ca3254",
"metadata": {},
"source": [
"----------------------------"
]
},
{
"cell_type": "markdown",
"id": "c965575f",
"id": "25dbe413",
"metadata": {},
"source": [
"<img src=\"https://ktonal.com/k-circle-bw.png\" alt=\"logo\" width=\"75\"/>"
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32 changes: 16 additions & 16 deletions demos/colab/freqnet.ipynb
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"cells": [
{
"cell_type": "markdown",
"id": "bf5127e5",
"id": "0dfc073c",
"metadata": {},
"source": [
"## Connect to your GDrive \n",
Expand All @@ -14,7 +14,7 @@
{
"cell_type": "code",
"execution_count": null,
"id": "4405711e",
"id": "85502744",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "1440b8e9",
"id": "b192530b",
"metadata": {},
"source": [
"### Install `mimikit`"
Expand All @@ -35,18 +35,18 @@
{
"cell_type": "code",
"execution_count": null,
"id": "0b699931",
"id": "a2b96802",
"metadata": {},
"outputs": [],
"source": [
"%pip uninstall torchtext -y\n",
"%pip install mimikit[colab]==0.4.0"
"%pip install mimikit[colab]==0.4.1"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1aefe102",
"id": "e18f7a39",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "694b0879",
"id": "3eac84b4",
"metadata": {},
"source": [
"### Load Data"
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{
"cell_type": "code",
"execution_count": null,
"id": "aadd8ee3",
"id": "637d4e38",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "12f78699",
"id": "6e53bd8b",
"metadata": {},
"source": [
"### Configure Network"
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{
"cell_type": "code",
"execution_count": null,
"id": "d5d3b2ac",
"id": "662a028a",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "3081fec0",
"id": "e8280392",
"metadata": {},
"source": [
"### Configure Training"
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{
"cell_type": "code",
"execution_count": null,
"id": "5dfb9507",
"id": "fbac08d0",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "4f8db66e",
"id": "7153caa0",
"metadata": {},
"source": [
"### RUN"
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{
"cell_type": "code",
"execution_count": null,
"id": "fd22b9c9",
"id": "f4505874",
"metadata": {},
"outputs": [],
"source": [
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},
{
"cell_type": "markdown",
"id": "e8ed262c",
"id": "983f6d9d",
"metadata": {},
"source": [
"----------------------------"
]
},
{
"cell_type": "markdown",
"id": "cbce959b",
"id": "ece15877",
"metadata": {},
"source": [
"<img src=\"https://ktonal.com/k-circle-bw.png\" alt=\"logo\" width=\"75\"/>"
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