# Chinese Natural Language Processing

A general-purpose Chinese sentence embedding model for calculating sentence similarity and semantic search tasks.

This is a Chinese pretrained BERT model using whole word masking strategy, released by the Harbin Institute of Technology-iFLYTEK Joint Laboratory to accelerate Chinese natural language processing research.

A Chinese pre-trained BERT model employing whole word masking strategy, aimed at accelerating Chinese natural language processing research.

This is a retrained 6-layer RoBERTa-wwm-ext model using whole word masking technique for Chinese pretraining.

An XLNet pre-trained model for Chinese, aimed at enriching Chinese natural language processing resources and providing diversified choices for Chinese pre-trained models.

This is a retrained three-layer RoBERTa-wwm-ext-large model, a Chinese pre-trained BERT model employing whole word masking strategy, aimed at accelerating the development of Chinese natural language processing.

This is a Chinese pre-trained BERT model employing whole word masking technology, developed by the HIT-iFLYTEK Joint Lab to accelerate advancements in Chinese natural language processing.