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Simcse Chinese Roberta Wwm Ext
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Simcse Chinese Roberta Wwm Ext
Developed by cyclone
A simplified Chinese sentence embedding encoding model based on simple contrastive learning, using the Chinese RoBERTa WWM extended version as the pre-trained model.
Downloads 188
Release Time : 3/2/2022
Model Overview
This model provides simplified Chinese sentence embedding encoding, primarily used for tasks such as text similarity calculation and semantic retrieval.
Model Features
Contrastive Learning
Trained using simple contrastive learning methods, better capturing the semantic information of sentences
Chinese Optimization
Based on the Chinese RoBERTa WWM extended version, specifically optimized for Chinese text
Sentence Embedding
Can encode Chinese sentences of any length into fixed-dimensional semantic vectors
Model Capabilities
Chinese Sentence Encoding
Semantic Similarity Calculation
Text Retrieval
Use Cases
Information Retrieval
Semantic Search
Used to build search engines based on semantics rather than keywords
Text Similarity
Question-Answer Matching
Calculate the semantic similarity between questions and candidate answers
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