Text Analytics Toolbox Model for BERT-Mini Network

Pretrained BERT-Mini Network for MATLAB
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Mise à jour 26 jan. 2026
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");
Compatibilité avec les versions de MATLAB
Créé avec R2023b
Compatible avec les versions R2023b à R2026a
Plateformes compatibles
Windows macOS (Apple Silicon) macOS (Intel) Linux