The abstract from the paper is the following: Transfer learning, where a model is first pre-trained on a data A Transformer is a model architecture that eschews recurrence and instead relies entirely on an attention mechanism to draw global dependencies between input and output.
state_dict(), PATH) # Load to whatever device you want. Transformers model in ai Most applications of Transformers, explained: Understand the model behind GPT, BERT, and T5 Google Cloud Tech 1.