How to Install and Run Powerful Visual Language Understanding LLM locally - MiniCPM-V2.6
#LLM #llm #machinelearning #visuallanguagemodel #miniCPM #meta #llama #chatgpt
It takes a significant amount of time and energy to create these free video tutorials. You can support my efforts in this way:
Buy me a Coffee: https://www.buymeacoffee.com/Aleksand...
PayPal: https://www.paypal.me/AleksandarHaber
Patreon: https://www.patreon.com/user?u=320801...
You Can also press the Thanks YouTube Dollar button
In this LLM and visual language understanding model tutorial, we explain how to install and run MiniCPM-V on a local computer in Python and Linux Ubuntu. We also explain how MiniCPM can be used to recognize objects, persons, and animals on images and how it can be used to reason by using two images. Namely, we show how MiniCPM can be used to recognize if an animal on one image is a threat for the animal on the other image
MiniCPM is a series of end-side multimodel Large Language Models (LLMs) designed for visual language understanding. Visual language understanding is a fancy word for understanding images and videos. That is, you provide an image or a video to the model as well as a question or some instruction, and the LLM should understand what is the video or image, and provide an answer.
Installation:
We explain how to install MiniCPM-V in Linux Ubuntu. The installation instructions provided in the GitHub and Hugging Face websites might be incomplete, and we will have to do some tweaking to properly install MiniCPM-V locally. Also, we will have to modify installation instructions and demo Python files such that MiniCPM-V can work without issues on a local computer.
Watch video How to Install and Run Powerful Visual Language Understanding LLM locally - MiniCPM-V2.6 online, duration hours minute second in high quality that is uploaded to the channel Aleksandar Haber PhD 13 August 2024. Share the link to the video on social media so that your subscribers and friends will also watch this video. This video clip has been viewed 554 times and liked it 17 visitors.
