#51 · Primary category: Foundation Models

Chinese-ELECTRA

bert chinese chinese-electra electra language-model nlp pre-trained-model pytorch tensorflow

Pre-trained Chinese ELECTRA(中文ELECTRA预训练模型)

Project last updated:04/19/26

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License

Apache-2.0

Why we included this project

For teams building Chinese-language NLP systems, this release from the Harbin Institute of Technology and iFlytek joint lab offers a compact encoder worth fine-tuning. It ships several sizes of ELECTRA models, and the small variant reaches BERT-base-level quality with roughly a tenth of the parameters. The models are trained on a large Chinese corpus, with a later 180G edition that adds CommonCrawl content. You can load them through Hugging Face Transformers or PaddleHub and use them as the backbone for text classification, reading comprehension, or sequence labeling. There is also a legal-domain version trained on court documents, handy if your work touches that sector. Baseline results and fine-tuning notes are included, which helps when deciding whether ELECTRA beats the usual BERT-based Chinese encoders for your task.

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