Locally Install LLama2 Chat Model API not Required Step by Step Guide

YOUR LINK HERE:

http://youtube.com/watch?v=Z6sCl6abJj4

In this Hugging Face pipeline tutorial for beginners we'll use Llama 2 by Meta. We will load Llama 2 and run the code in the free Colab Notebook. You'll learn how to chat with Llama 2 (the most hyped open source llm) easily thanks to the Hugging Face library. • Happy watching! • • +++ Useful Links +++ • Colab Notebook from this video: https://colab.research.google.com/dri... • Get your Llama-2 for the project: https://huggingface.co/meta-llama/Lla... • +++ Hugging Face +++ • Blog post for running Llama 2 (Llama 2 is here) by Hugging Face: https://huggingface.co/blog/llama2 • Hugging Face pipelines documentation: https://huggingface.co/docs/transform... • Hugging Face pipeline tasks list: https://huggingface.co/docs/transform... • +++ Chat with Llamas +++ • Chat with Llama-2 7B on Hugging Face: https://huggingface.co/spaces/hugging... • Chat with Llama-2 70B on Hugging Face: https://huggingface.co/spaces/ysharma... • • Chapters: • 0:00 Intro • 1:35 Changing runtime type to GPU on Colab • 2:10 Install Hugging Face PyTorch • 2:35 Get access to Llama 2 • 3:28 Login into Hugging Face in Colab • 4:17 Loading Llama 2 Model and Tokenizer into Colab • 5:20 Creating the Hugging Face Pipeline • 6:23 Generate Llama 2 responses • 8:07 Llama Response #1 • 8:30 Llama Response #2 • 10:10 Llama Response #3 • 10:55 Llama Response #4 • 11:30 Llama Response #5 • 11:55 Conversational Llama 2 • 12:34 Outro • Connect with me: • LinkedIn: / kris-ograbek • Medium: / kris-ograbek

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