It allows the model to learn a bidirectional representation of the sentence. Next sentence prediction (NSP): the models concatenates two masked sentences as inputs during pretraining. Sometimes they correspond to sentences that were next to each other in the original text, sometimes not.

🤗 ParsBERT: Transformer-based Model for Persian Language Understanding.

BERT, which stands for Bidirectional Encoder Representations from Transformers, is based on transformers, a deep learning model in which every output element is connected to every input element, and the weightings between them are dynamically calculated based upon their connection.

3.1 Check the model size The BERT model used in this tutorial ( bert-base-uncased ) has a vocabulary size V of 30522.