Text Analytics Toolbox Model for BERT-Mini Network

Pretrained BERT-Mini Network for MATLAB

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BERT-Mini 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 4 self-attention layers and a hidden size of 256.
To load a BERT-Mini model, you can run the following code:
[net, tokenizer] = bert(Model="mini");

Kompatibilität der MATLAB-Version

  • Kompatibel mit R2023b bis R2026a

Plattform-Kompatibilität

  • Windows
  • macOS (Apple Silicon)
  • macOS (Intel)
  • Linux