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BERT-Base is a pretrained language model based on Deep Learning Transformer architecture that can be used for a wide variety of Natural Language Processing (NLP) tasks. This model has 12 self-attention layers and a hidden size of 768.
To load a BERT-Base model, run the following code:
[net, tokenizer] = bert(Model="base");
MATLAB Release Compatibility
- Compatible with R2023b to R2026a
Platform Compatibility
- Windows
- macOS (Apple Silicon)
- macOS (Intel)
- Linux
