https://genai.gitpull.in/2-intro-genai/2.3-seeing-in-action/index.html Simple Hands On: Text Generation with GPT Let’s write some code to generate text using a pre-trained GPT model. We’ll use the transformers library by Hugging Face, which provides easy access to many pre-trained models. Step 1: Install the Required Libraries You’ll need Python installed on your machine along with the following packages: transformers (from Hugging Face) torch (PyTorch backend) pip install transformers torch Step 2: Write the Code Hugo en-us https://genai.gitpull.in/2-intro-genai/2.3-seeing-in-action/2.4-deep-dive-in-action/index.html Mon, 01 Jan 0001 00:00:00 +0000 https://genai.gitpull.in/2-intro-genai/2.3-seeing-in-action/2.4-deep-dive-in-action/index.html Deep Dive : Text Generation with GPT and Tokenizer We’ll start with loading a pretrained model (like GPT-2 or BERT) and running a simple text generation task. We’ll use Hugging Face’s transformers library for this. Step 1: Install the required libraries You’ll need Python installed on your machine along with the following packages: transformers (from Hugging Face) torch (PyTorch backend) To install these, run: pip install transformers torch Step 2: Load a Pretrained GPT-2 Model and Tokenizer Here’s a simple example to load the GPT-2 model and tokenizer, then generate text based on a prompt.