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Transformers are part of a deep learning model family using the attention mechanism to learn how to make prediction over sequential data without the need for recursion.
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BERT masked lenguaje model. How can calculate the embedding of the MASK token?
On the training step of the masked lenguaje model, we constuct the embedding of the "masked" token using the embeddings of the contextual words, right? Then with a softmax layer we predict the "masked …