deepseek-ai/DeepSeek-OCR is out! ๐ฅ my take โคต๏ธ > pretty insane it can parse and re-render charts in HTML > it uses CLIP and SAM features concatenated, so better grounding > very efficient per vision tokens/performance ratio > covers 100 languages
๐ New blog: Maintain the unmaintainable โ 1M+ Python LOC, 400+ models
How do you stop a million-line library built by thousands of contributors from collapsing under its own weight? At ๐ค Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.
๐ Inside the post: โ One Model, One File: readability first โ you can still open a modeling file and see the full logic, top to bottom. โ Modular Transformers: visible inheritance that cuts maintenance cost by ~15ร while keeping models readable. โ Config-Driven Performance: FlashAttention, tensor parallelism, and attention scheduling are config-level features, not rewrites.
Written with @lysandre,@pcuenq and @yonigozlan, this is a deep dive into how Transformers stays fast, open, and maintainable.