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Demo LoLCATs LLMs
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"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"id": "view-in-github", | |
"colab_type": "text" | |
}, | |
"source": [ | |
"<a href=\"https://colab.research.google.com/gist/ariG23498/45b0c2afc95ca4c4b7cf64fbc161c1e7/scratchpad.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"source": [ | |
"## Clone the Repository" | |
], | |
"metadata": { | |
"id": "gcBzM4xCMOIW" | |
} | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "lIYdn1woOS1n", | |
"outputId": "3fd7f3b4-6802-4110-9e50-6ccccbb4c3bd" | |
}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"Cloning into 'lolcats'...\n", | |
"remote: Enumerating objects: 3794, done.\u001b[K\n", | |
"remote: Counting objects: 100% (356/356), done.\u001b[K\n", | |
"remote: Compressing objects: 100% (163/163), done.\u001b[K\n", | |
"remote: Total 3794 (delta 219), reused 314 (delta 192), pack-reused 3438 (from 1)\u001b[K\n", | |
"Receiving objects: 100% (3794/3794), 95.30 MiB | 17.21 MiB/s, done.\n", | |
"Resolving deltas: 100% (2201/2201), done.\n", | |
"/content/lolcats\n" | |
] | |
} | |
], | |
"source": [ | |
"! git clone https://github.com/HazyResearch/lolcats.git\n", | |
"%cd lolcats" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"source": [ | |
"## Setup and Install" | |
], | |
"metadata": { | |
"id": "kyYR7X02MQW-" | |
} | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"!pip install -Uq omegaconf peft" | |
], | |
"metadata": { | |
"colab": { | |
"base_uri": "https://localhost:8080/" | |
}, | |
"id": "wywFiknZHSjs", | |
"outputId": "d9015298-f959-491f-c263-c3cd06ff7b5e" | |
}, | |
"execution_count": 2, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"name": "stdout", | |
"text": [ | |
"\u001b[?25l \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/117.0 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m117.0/117.0 kB\u001b[0m \u001b[31m11.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
"\u001b[?25h Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n", | |
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m79.5/79.5 kB\u001b[0m \u001b[31m7.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m320.7/320.7 kB\u001b[0m \u001b[31m22.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", | |
"\u001b[?25h Building wheel for antlr4-python3-runtime (setup.py) ... \u001b[?25l\u001b[?25hdone\n" | |
] | |
} | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"source": [ | |
"## Login to Hugging Face" | |
], | |
"metadata": { | |
"id": "56lmL_zyMT-k" | |
} | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"from huggingface_hub import login" | |
], | |
"metadata": { | |
"id": "pCvi38PwHvoH" | |
}, | |
"execution_count": 3, | |
"outputs": [] | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"login()" | |
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"metadata": { | |
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"base_uri": "https://localhost:8080/", | |
"height": 145, | |
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}, | |
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"outputs": [ | |
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"output_type": "display_data", | |
"data": { | |
"text/plain": [ | |
"VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…" | |
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} | |
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] | |
}, | |
{ | |
"cell_type": "markdown", | |
"source": [ | |
"## Run the demo\n", | |
"\n", | |
"Before running the demo, open the `demos/demo_8b.sh` and change the `CONFIG_DIR`. The `CONFIG_DIR` should point to the configuration directory." | |
], | |
"metadata": { | |
"id": "Y1CmtVWmMV9n" | |
} | |
}, | |
{ | |
"cell_type": "code", | |
"source": [ | |
"!cd demos && bash demo_8b.sh" | |
], | |
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}, | |
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"value": "\n<b>Pro Tip:</b> If you don't already have one, you can create a dedicated\n'notebooks' token with 'write' access, that you can then easily reuse for all\nnotebooks. </center>" | |
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"_model_module_version": "1.5.0", | |
"_model_name": "DescriptionStyleModel", | |
"_view_count": null, | |
"_view_module": "@jupyter-widgets/base", | |
"_view_module_version": "1.2.0", | |
"_view_name": "StyleView", | |
"description_width": "" | |
} | |
} | |
} | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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You will find more information about the models and how to run other demo in their official repository