warner-benjamin / commented-transformers

Highly commented implementations of Transformers in PyTorch

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Commented Transformers

Highly commented implementations of Transformers in PyTorch for Creating a Transformer From Scratch series:

  1. The Attention Mechanism
  2. The Rest of the Transformer

The layers folder contains implementations for Bidirectional Attention, Causal Attention, and CausalCrossAttention.

The models folder contains single file implementations for GPT-2 and BERT. Both models are compatible with torch.compile(..., fullgraph=True).

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Highly commented implementations of Transformers in PyTorch

License:MIT License


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