rbtl3

Model overview

rbtl3 is published by hfl as a fill-mask model. The captured configuration identifies BertForMaskedLM with model type bert. According to the model card, it is a re-trained 3-layer RoBERTa-wwm-ext-large model associated with Chinese BERT with Whole Word Masking.

Recorded capabilities

Use cases in the source record

• Chinese fill-mask workflows using a model associated with Whole Word Masking pre-training.
• Research reference for Chinese BERT whole-word-masking reports cited in the model card.

Limitations and unknowns

• No parameter count was extracted from this record.
• No evaluation results were extracted from this record.
• Provider state is historical snapshot data, not independently refreshed current availability.
• Training and lineage details come from the publisher model card and have not been independently verified by Ethen.

Source and provenance

Source: hfl/rbtl3

Captured: Unknown. Processed: 2026-09-07T19:34:46.469635+00:00.

This is a re-trained 3-layer RoBERTa-wwm-ext-large model. Chinese BERT with Whole Word Masking For further accelerating Chinese natural language processing, we provide Chinese pre-trained BERT with Whole Word Masking . Pre-Training with Whole Word Masking for Chinese BERT Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping Hu This repository is developed based on： https://github.com/google-research/bert You may also interested in, Chinese BERT series: https://github.com/ymcui/Chinese-BERT-wwm Chinese MacBERT: https://github.com/ymcui/MacBERT Chinese ELECTRA: https://github.com/ymcui/Chinese-ELECTRA Chines…