Implementações do modelo BERT

Top Down Introduction to BERT with HuggingFace and PyTorch


If you’re just getting started with BERT, this article is for you. I will explain the most popular use cases, the inputs and outputs of the model, and how it was trained. I will also provide some intuition into how it works, and will refer your to several excellent guides if you’d like to get deeper.

How the Embedding Layers in BERT Were Implemented

In this article, the author will explain the implementation details of the embedding layers in BERT, namely the Token Embeddings, Segment Embeddings, and the Position Embeddings.

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