open-source-models-with-hugging-face

L2_NLP.ipynb
4784 строки · 139.8 Кб
Перенос по словам
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{
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 "cells": [
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "# Lesson 2: Natural Language Processing (NLP)"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "First, install the following if you are running locally:\n",
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    "\n",
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    "```\n",
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    "    !pip install transformers\n",
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    "```\n",
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    "\n",
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    "_Note:_ You don't have to install any extra libraries if you are running this lab in this platform."
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "### Build the `chatbot` pipeline using 🤗 Transformers Library"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "- Here is some code that suppresses some warning messages."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 1,
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   "metadata": {
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    "height": 47
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   },
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   "outputs": [],
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   "source": [
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    "from transformers.utils import logging\n",
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    "logging.set_verbosity_error()"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 2,
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   "metadata": {
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    "height": 30
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   },
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   "outputs": [],
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   "source": [
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    "from transformers import pipeline"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "- Define the conversation pipeline"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 3,
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   "metadata": {
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    "height": 77
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   },
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   "outputs": [],
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   "source": [
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    "# Create the chatbot\n",
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    "chatbot = pipeline(task=\"conversational\",\n",
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    "                   model=\"./models/facebook/blenderbot-400M-distill\")"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "_Note:_ Find more information about the model 'blenderbot-400M-distill', [here](https://huggingface.co/facebook/blenderbot-400M-distill)."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 4,
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   "metadata": {
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    "height": 94
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   },
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   "outputs": [],
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   "source": [
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    "# User message to start the conversation with the chatbot\n",
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    "user_message = \"\"\"\n",
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    "What are some fun activities I can do in the winter?\n",
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    "\"\"\""
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 5,
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   "metadata": {
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    "height": 47
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   },
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   "outputs": [],
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   "source": [
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    "# Import Conversation to get started\n",
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    "from transformers import Conversation"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 6,
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   "metadata": {
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    "height": 47
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   },
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   "outputs": [],
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   "source": [
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    "# Start a new conversation\n",
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    "conversation = Conversation(user_message)"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 7,
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   "metadata": {
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    "height": 30
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   },
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   "outputs": [
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
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      "user: \n",
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      "What are some fun activities I can do in the winter?\n",
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      "\n",
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "print(conversation)"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 8,
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   "metadata": {
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    "height": 47
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   },
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   "outputs": [],
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   "source": [
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    "# Send this conversation to the chatbot\n",
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    "conversation = chatbot(conversation)"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 9,
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    "height": 30
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   "outputs": [
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     "name": "stdout",
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     "text": [
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      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
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      "user: \n",
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      "What are some fun activities I can do in the winter?\n",
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      "\n",
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      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "print(conversation)"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "_Note:_ It is possible to continue the conversation with the chatbot adding something like:\n",
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    "```\n",
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    "print(chatbot(Conversation(\"What else do you recommend?\")))\n",
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    "```\n",
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    "However, the chatbot might reply something unrelated because the chatbot didn't follow up the whole conversation.\n",
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    "\n",
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    "To fix that, try adding a 'message' to the conversation to follow up the conversation's context."
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 13,
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   "metadata": {
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    "height": 43
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   "outputs": [
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "Conversation id: 5a3c42b6-0590-4550-8c05-a7ecf0616210\n",
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      "user: What else do you recommend?\n",
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      "assistant:  Well, I'm not sure what else I can think of, but I do know that I'm going to miss her.\n",
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "print(chatbot(Conversation(\"What else do you recommend?\")))"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 10,
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   "metadata": {
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    "height": 132
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   },
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   "outputs": [],
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   "source": [
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    "# Add a message to the conversation\n",
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    "conversation.add_message(\n",
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    "    {\"role\": \"user\",\n",
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    "     \"content\": \"\"\"\n",
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    "What else do you recommend?\n",
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    "\"\"\"\n",
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    "    })"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 11,
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   "metadata": {
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    "height": 30
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   },
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   "outputs": [
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
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      "user: \n",
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      "What are some fun activities I can do in the winter?\n",
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      "\n",
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      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
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      "user: \n",
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      "What else do you recommend?\n",
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      "\n",
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "print(conversation)"
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   ]
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  },
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  {
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   "cell_type": "code",
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   "execution_count": 12,
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   "metadata": {
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    "height": 81
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   },
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   "outputs": [
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    {
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     "name": "stdout",
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     "output_type": "stream",
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     "text": [
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      "Conversation id: 415c0b76-1df8-4138-99c4-0083f965c08e\n",
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      "user: \n",
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      "What are some fun activities I can do in the winter?\n",
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      "\n",
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      "assistant:  I like snowboarding and skiing.  What do you like to do in winter?\n",
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      "user: \n",
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      "What else do you recommend?\n",
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      "\n",
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      "assistant:  Snowboarding is a lot of fun.  You can do it indoors or outdoors.\n",
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      "\n"
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     ]
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    }
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   ],
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   "source": [
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    "# Send this conversation to the chatbot\n",
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    "conversation = chatbot(conversation)\n",
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    "\n",
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    "print(conversation)"
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "_Note:_ Find more information about the __Open LLM Leaderboard__[ here](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard), and about the __LMSYS Chatbot Arena Leaderboard__ [ here](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard)."
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   ]
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  },
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  {
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   "cell_type": "markdown",
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   "metadata": {},
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   "source": [
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    "### Try yourself! \n",
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    "Now, it is your turn! Try this model with your own conversations!"
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   ]
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  }
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open-source-models-with-hugging-face

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