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A lightweight Transformer implementation in PyTorch for experimenting with word embeddings, positional encoding, and next-word prediction. Includes a Colab notebook for step-by-step sentence generation and visualization. Ideal for learning how transformers generate text and testing tiny datasets.
A lightweight Transformer implementation in PyTorch for experimenting with word embeddings, positional encoding, and next-word prediction. Includes a Colab notebook for step-by-step sentence generation and visualization. Ideal for learning how transformers generate text and testing tiny datasets.