The @nntopo macro in Julia's Transformers.jl package defines the neural network topology, allowing structured declaration of layers and attention mechanisms efficiently.
Here is the code snippet you can refer to:

In the above code, we are using the following key points:
- Uses @nntopo (via @chainable) to define a structured Transformer model.
- Implements embedding, multi-head attention, and normalization layers.
- Enables efficient declaration and modularity in Transformers.jl.
Hence, @nntopo in Transformers.jl simplifies defining and structuring Transformer models, improving readability and maintainability.