The code is in part from chapter 3 of Huggingface's transformers book which mainly focuses on the Encoder. When reading the code, you should follow the flow of the model : start with the Encoder, then ...

This demo shows how an encoder architecture with a feed forward ... spiegel21 / transformer_encoder-decoder_demo Public. Notifications ... model implementations ├── dataset.py # Dataset classes for ...

Not just GPT-3, the previous versions, GPT and GPT-2, too, utilised a decoder only architecture. The original Transformer model is made of both encoder and decoder, where each forms a separate stack.