R

Roformer Chinese Char Small

Developed by junnyu
RoFormer is a Chinese Transformer model enhanced with Rotary Position Embedding, suitable for text infilling tasks.
Downloads 24
Release Time : 3/2/2022

Model Overview

This model employs rotary position embedding technology, outperforming traditional Transformers in long-text processing, particularly excelling in Chinese text mask prediction tasks.

Model Features

Rotary Position Embedding
Utilizes innovative Rotary Position Embedding (RoPE) technology, better handling long-sequence dependencies compared to traditional position encoding
Chinese Optimization
Specially optimized for Chinese text processing, demonstrating excellent performance in character-level tasks
Multi-framework Support
Provides implementations for both PyTorch and TensorFlow 2.0

Model Capabilities

Text infilling
Mask prediction
Chinese text understanding

Use Cases

Text completion
Sentence completion
Predicting masked portions in sentences
Can accurately predict contextually appropriate words
Language model pretraining
Downstream task fine-tuning
Can serve as a pretrained model for various NLP downstream tasks
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase