{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c2c4bff1",
   "metadata": {},
   "source": [
    "## 3. Getting started with Hugging Face\n",
    "\n",
    "In addition to the commercial chatbots that draw the most media attention, there are many other ways to access large-language models — including free and open-source options that you can run directly in the cloud using Hugging Face.\n",
    "\n",
    "For this demonstration, we will use [Hugging Face Serverless Inference API](https://huggingface.co/docs/api-inference/en/index), which offers free access to a wide range of powerful language models. It’s fast, beginner-friendly, and widely supported in the AI community. The skills you learn here will transfer easily to other platforms as well.\n",
    "\n",
    "To get started, go to [huggingface.co](https://huggingface.co/). Click on **Sign Up** to create an account or **Log In** at the top right.\n",
    "\n",
    "[![Hugging Face](images/hf.png)](https://huggingface.co/)\n",
    "\n",
    "Once you’re logged in, navigate to your profile dropdown and select **Settings**, then [**Access Tokens**](https://huggingface.co/settings/tokens). Click on **New token**, give it a name (we recommend `first-llm-classifier`), set the role to **Fine-Grained**, select the following options and hit **Generate**.\n",
    "\n",
    "[![Tokens](images/tokens.png)](https://huggingface.co/)\n",
    "\n",
    "Copy the token that appears — you'll only see it once — and store it somewhere safe. You’ll use it to authenticate your Python scripts when making requests to Hugging Face's APIs.\n",
    "\n",
    "You can now access any public model using the Hugging Face Inference API — no deployment required. For example, visit the [Llama 3.3 70B Instruct model page](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct), click **Deploy**, then go to the **Inference Providers** tab, and select **HF Inference API**. This gives you instant access to the model via a hosted endpoint maintained by Hugging Face.\n",
    "\n",
    "[![Llama 3.3](images/llama.png)](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct)\n",
    "\n",
    "This approach is ideal if you want to quickly try out models without spinning up your own infrastructure. Many models are available with generous free-tier access.\n",
    "\n",
    "**[4. Installing JupyterLab →](ch4-installing-jupyterlab.ipynb)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6f8b3428-2d43-4691-82b4-085341c8a1d2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}