Bert Decoder using is_decoder and encoder_hidden_states #2321. Copy link. Labels. wontfix. Description. shashankMadan-designEsthetics. opened on Dec 26, 2019. Issue body actions. import torch from ...

Understanding LLM Architecture: Encoder, Decoder, Self-Attention and Multi-Head Attention Modern Large Language Models (LLMs) such as GPT, BERT, and T5 are built on the Transformer architecture, ...

The proposed solution implements IndoBERT, IndoRoBERTa, and mBERT in an encoder-decoder architecture with each BERT model as both the encoder and the decoder. The models employ different weight ...

When k equals half the sentence length, the downstream tasks can reach their best performance. Masking half the sentence can provide good balance in the pre-training of the encoder and decoder. Bias ...

We introduce BERT-NAR-BERT (BnB) – a pre-trained non-autoregressive sequence-to-sequence model, which employs BERT as the backbone for the encoder and decoder for natural language understanding and ...

BERT. BERT (bidirectional encoder representations from transformers) ... In tasks like translation, transformers manage context from past and future input using an encoder-decoder structure.