方法证据记录
Transformer
The Transformer is an attention-based deep learning model, introduced by Vaswani and colleagues in 2017, that performs text classification, named-entity recognition, and language modelling by letting every token in a sequence attend directly to every other token. It replaced earlier recurrent designs with a self-attention mechanism that processes whole sequences in parallel.
源记录
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Transformer Model for Natural Language Processing
分类方法记录 · ml-model / deep-learning
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