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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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bos_token for a custom Transformer
I am trying to use a Transformer to solve a time-series problem. I built the model using the Pytorch library. And I am planning to train the model from scratch. The model is looking back last L time-s …
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Linear positional encoding for Transformers with fixed sequence length
I am trying to use Transformers for a Time-series task (with fixed sequence length).
Since it's sequence length is always the same, can I use a linear positional encoding? …