Qwen AI for OCR Text Extraction: Open Source Model - Example in Python
Qwen 2.5 AI OCR for Images: Demo
In the rapidly evolving world of AI and Large Language Models (LLMs), China's Deepseek and Alibaba's Qwen models have recently become vary popular, and for good reason.
Both are highly accurate, with some of the highest accuracy scores on several different benchmarks ... and both offer an free open source version.
Are you interested in learning more about the newest Qwen model, and how well it performs OCR on images, then this video is for you.
Highly accurate and open-source, Deepseek and Qwen are rapidly gaining prominence in the LLM landscape.
We're going to show you how easy it is to use this model on your own desktop.
At the end of the video, we will be discussing the accuracy of this model, it has one of the best scores for accuracy of all the models available, and as we just mentioned, this one is free.
Github Repo: https://github.com/TechExpertTutorial...
Chapters:
00:00 - Intro: Qwen vs. DeepSeek
01:20 - Python & VS Code Setup
01:50 - Searching Models on Hugging Face
02:15 - Loading Qwen 2.5-VL
02:45 - Resource & Weight Management
03:22 - Case Study: Driver’s License
03:45 - Prompt Engineering Strategy
04:05 - Input Preparation
04:42 - Running Model Inference
05:15 - Accuracy Results: Qwen vs. GPT-4
05:43 - Case Study: Store Receipt
06:11 - Conclusion & Next Steps
▶️ How Transformers work: • Transformers, the tech behind LLMs | Deep ...
▶️ Link to Full Qwen Video with Python Conda Setup: • Qwen2.5-VL for OCR: Setup and Demo with P...
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