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BERT - Hugging Face Instantiating a configuration with the defaults will yield a similar configuration to that of the BERT google-bert bert-base-uncased architecture Configuration objects inherit from PretrainedConfig and can be used to control the model outputs
BERT (language model) - Wikipedia Masked language modeling (MLM): In this task, BERT ingests a sequence of words, where one word may be randomly changed ("masked"), and BERT tries to predict the original words that had been changed
BERT Models and Its Variants - MachineLearningMastery. com BERT is a transformer-based model for NLP tasks that was released by Google in 2018 It is found to be useful for a wide range of NLP tasks In this article, we will overview the architecture of BERT and how it is trained Then, you will learn about some of its variants that are released later Let’s get started