Install and Run Locally DeepSeek Janus-Pro on Windows and Python - Correct Installation for Windows

#januspro #deepseek #machinelearning #llm
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- In this tutorial, we explain how to download, install and run locally DeepSeek Janus-Pro multimodal understanding models. We explain how to install models on Windows and how to run models in Python.

The Python codes used in this tutorial are given here:
https://aleksandarhaber.com/install-and-run-locally-deepseek-janus-pro-on-windows-and-python/

Install Visual studio Code on Windows:
https://www.youtube.com/watch?v=Da48GoxL7hc

- First, let us explain what are multimodal understanding models and multimodal deep learning. Multimodal understanding is the ability to interpret, analyze, describe, and understand multiple and simultaneous sources of visual, sound, text information, and data. In other words, multimodal understanding or multimodal learning is a branch of deep learning that integrates and analyzes simultaneously different types of data, such as audio, images, videos, and text. These different types of data are usually called modalities.

- Janus-Pro is a multimodal understanding model. It can also be used for image generation. It comes in two size: 1B model and 7B model.

- In this tutorial, we will explain how to use Janus-Pro for multimodal tasks, and in the next one, we will explain how to use it for image generation.

We will install the Janus-Pro on a Windows computer. To correctly install the model, you need to install Microsoft Visual Studio C++ compilers and NVIDIA CUDA Toolkit and compilers.

We will explain a simple Python script for running the model. Link to the code will be provided in the description below.
Note that online instruction for installing the model given on the GitHub page are mainly written for Linux systems. Consequently, we will have to make significant modifications in order to be able to run the model on a Windows computer.

Our computer has the following specifications: NVIDIA 3090 GPU, Intel i9 processor and 64 GB RAM.