Google GEMMA AI on Apple Silicon Macs with Python & Hugging Face — Creative AI with Nono · Live 113
In a world where artificial intelligence is becoming increasingly prevalent, Google’s GEMMA AI platform is making waves in the creative AI space. With the recent release of Apple Silicon Macs, developers now have the opportunity to harness the power of GEMMA AI in their Python projects using the Hugging Face library.
One standout example of GEMMA AI’s capabilities is its collaboration with Nono, an AI artist that creates stunning visual artworks. By leveraging GEMMA AI’s machine learning algorithms and Nono’s unique artistic style, creators can generate truly innovative and thought-provoking pieces.
Thanks to the compatibility of GEMMA AI with Apple Silicon Macs, developers can easily incorporate this cutting-edge technology into their Python projects. With the help of the Hugging Face library, integrating GEMMA AI into existing workflows is a seamless process.
Live 113 is a showcase of the endless possibilities that arise when combining Google GEMMA AI, Apple Silicon Macs, Python, and the Hugging Face library. From generating text-based art to creating music compositions, the sky’s the limit when it comes to exploring the intersection of creativity and AI.
Overall, the fusion of Google GEMMA AI, Apple Silicon Macs, Python, and Hugging Face is revolutionizing the way we approach creative AI. As technology continues to advance, it’s exciting to see how these tools will continue to push the boundaries of what is possible in the realm of artificial intelligence.
↓ Here are the chapters. =)
01:23 Introduction
02:46 Previously
03:11 Today
03:45 Elgato Prompter
06:19 Interlude
06:43 Google Gemma 2B & 7B
08:45 Overview
11:59 Hugging Face CLI
14:01 CLI Install
14:54 CLI Login
15:33 Download Gemma
22:19 Run Gemma Locally
24:49 Anaconda Environment
29:00 Gemma on the CPU
52:56 Apple Silicon GPUs
55:32 List Torch Silicon MPS Device
56:50 Gemma on Apple Silicon GPUs
01:08:16 Sync Samples to Git
01:17:22 Thumbnail
01:28:42 Links
01:31:12 Chapters
01:36:28 Outro