BERT-models-finetuning
PublicBERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.
albertbertdata-sciencedeep-learningdistilbertfine-tuningmachine-learningmulti-class-classificationnlppretrained-models
Creat：2020-07-29T19:52:46
Update：2024-03-24T05:17:26
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