diff --git a/cookbook/Local_HF_Testing.ipynb b/cookbook/Local_HF_Testing.ipynb new file mode 100644 index 000000000..da47d4aa4 --- /dev/null +++ b/cookbook/Local_HF_Testing.ipynb @@ -0,0 +1,444 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [], + "machine_shape": "hm", + "gpuType": "V100" + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Set up Environment" + ], + "metadata": { + "id": "vDOm5wfjdFLP" + } + }, + { + "cell_type": "code", + "source": [ + "!pip install --upgrade litellm" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Bx6mAA6MHiy_", + "outputId": "949ad348-5448-40f8-fdf5-acdf0b0ecc70" + }, + "execution_count": 1, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Collecting litellm\n", + " 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tiktoken-0.4.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "zIYv7JTyxSxR", + "outputId": "53890320-f9fa-4bf4-8362-0f17f52c6ed4" + }, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Successfully installed fastapi-0.103.1 h11-0.14.0 huggingface-hub-0.16.4 ninja-1.11.1 pydantic-1.10.12 ray-2.6.3 safetensors-0.3.3 sentencepiece-0.1.99 starlette-0.27.0 tokenizers-0.13.3 transformers-4.33.1 uvicorn-0.23.2 vllm-0.1.4 xformers-0.0.21\n" + ] + } + ], + "source": [ + "!pip install vllm" + ] + }, + { + "cell_type": "markdown", + "source": [ + "# Load the Logs" + ], + "metadata": { + "id": "RMcoAni6WKEx" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd" + ], + "metadata": { + "id": "zchxB8c7WJe5" + }, + "execution_count": 4, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "# path of the csv file\n", + "file_path = 'Model-prompts-example.csv'\n", + "\n", + "# load the csv file as a pandas DataFrame\n", + "data = pd.read_csv(file_path)\n", + "\n", + "data.head()" + ], + "metadata": { + "id": "aKcWr015WNPm", + "outputId": "6e226773-333f-46a2-9fc8-4f54f309d204", + "colab": { + "base_uri": "https://localhost:8080/", + "height": 81 + } + }, + "execution_count": 6, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + " Success Timestamp Input \\\n", + "0 True 1694041195 This is the templated query input \n", + "\n", + " Output RunId (Wandb Runid) \\\n", + "0 This is the query output from the model 8hlumwuk \n", + "\n", + " Model ID (or Name) \n", + "0 OpenAI/Turbo-3.5 " + ], + "text/html": [ + "\n", + "
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SuccessTimestampInputOutputRunId (Wandb Runid)Model ID (or Name)
0True1694041195This is the templated query inputThis is the query output from the model8hlumwukOpenAI/Turbo-3.5
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