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š New blog: Maintain the unmaintainable ā 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 š¤ Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.
š Inside the post:
ā One Model, One File: readability first ā you can still open a modeling file and see the full logic, top to bottom.
ā Modular Transformers: visible inheritance that cuts maintenance cost by ~15Ć while keeping models readable.
ā 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.
Read it here ā transformers-community/Transformers-tenets
How do you stop a million-line library built by thousands of contributors from collapsing under its own weight?
At š¤ Transformers, we do it with explicit software-engineering tenets, principles that make the codebase hackable at scale.
š Inside the post:
ā One Model, One File: readability first ā you can still open a modeling file and see the full logic, top to bottom.
ā Modular Transformers: visible inheritance that cuts maintenance cost by ~15Ć while keeping models readable.
ā 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.
Read it here ā transformers-community/Transformers-tenets
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