Fine-tune DeepSeek-OCR on your own language Open-source locally : Most vision models treat documents as massive sequences of tokens, making long-context processing expensive and slow. DeepSeek-OCR… | Sohail Codes
Fine-tune DeepSeek-OCR on your own language Open-source locall…
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Fine-tune DeepSeek-OCR on your own language Open-source locally : Most vision models treat documents as massive sequences of tokens, making long-context processing expensive and slow. DeepSeek-OCR uses context optical compression to convert 2D layouts into vision tokens, enabling efficient processing of complex documents. It is a 3B-parameter vision model that achieves 97% precision while using 10x fewer vision tokens than text-based LLMs. In fact, you can easily fine-tune it for your specific u
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Fine-tune DeepSeek-OCR on your own language Open-source locall…
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