The Bart model was proposed in BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension. MBart and MBart-50 · BARTpho · BARThez · PLBart |
21 дек. 2021 г. · BART — sequence-to-sequence Трансформер, который предобучается реконструкции испорченного зашумлённого текста. Разработка Facebook AI Research. |
«Мастер-класс по изучению бизнес-модели BART». Бизнес-модель BART – это целостный подход к изучению систем и взаимодействия элементов в системах. |
29 окт. 2019 г. · We present BART, a denoising autoencoder for pretraining sequence-to-sequence models. BART is trained by (1) corrupting text with an arbitrary noising function. |
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BART is a transformer encoder-decoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. |
BART is a denoising autoencoder for pretraining sequence-to-sequence models. It is trained by (1) corrupting text with an arbitrary noising function. |
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