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  1. 25. März 2022 · Transformer models apply an evolving set of mathematical techniques, called attention or self-attention, to detect subtle ways even distant data elements in a series influence and depend on each other. First described in a 2017 paper from Google, transformers are among the newest and one of the most powerful classes of models invented to date.

  2. Transformer. A transformer is a passive component that transfers electrical energy from one electrical circuit to another circuit. Transformers play a crucial role in the generation, transmission, and distribution of electrical power across the world. These essential devices enable the efficient transfer of electrical energy between circuits ...

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  6. Note: Due to the multi-head attention architecture in the transformer model, the output sequence length of a transformer is same as the input sequence (i.e. target) length of the decoder. where S S S is the source sequence length, T T T is the target sequence length, N N N is the batch size, E E E is the feature number. Examples

  7. Philosophy Glossary What 🤗 Transformers can do How 🤗 Transformers solve tasks The Transformer model family Summary of the tokenizers Attention mechanisms Padding and truncation BERTology Perplexity of fixed-length models Pipelines for webserver inference Model training anatomy Getting the most out of LLMs

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