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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ACL 2024: You can Unified Efficiently fine-tune 100 open-source models without writing code. LLaMA-Factory gives you a unified interface for training LLMs and VLMs. It supports LLaMA, Mistral, Qwen, DeepSeek, Gemma, Phi, Yi, and 90 others. -/github.com/hiyouga/LlamaFactory | Md Ismail Sojal
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ACL 2024: You can Unified Efficiently fine-tune 100 open-sour…
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Run DeepSeek-R1 Locally & Build RAG Applications!
Run DeepSeek-R1 Locally & Build RAG Applications!
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