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Codebert Base

Developed by microsoft
CodeBERT is a pre-trained model for programming languages and natural languages, based on the RoBERTa architecture, supporting functions like code search and code-to-document generation.
Downloads 1.6M
Release Time : 3/2/2022

Model Overview

CodeBERT is a bimodal pre-trained model specifically designed for interactions between programming languages and natural languages, suitable for tasks such as code search and code documentation generation.

Model Features

Bimodal Pre-training
Simultaneously processes programming languages and natural languages, understanding the relationships between them.
Multi-task Learning
Adopts joint training objectives of MLM (Masked Language Modeling) and RTD (Replaced Token Detection).
Code Understanding Capability
Optimized specifically for code semantic understanding, suitable for code-related tasks.

Model Capabilities

Code search
Code documentation generation
Code completion (via MLM version)
Cross-modal understanding

Use Cases

Software Development Assistance
Code Search
Search for relevant code snippets based on natural language descriptions.
Improves developers' efficiency in finding code.
Automatic Documentation Generation
Automatically generate explanatory documentation for code.
Reduces documentation workload.
Programming Education
Code Example Recommendation
Recommend relevant code examples based on learners' natural language queries.
Assists in programming learning.
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