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Unixcoder Base Nine

Developed by microsoft
UniXcoder is a unified multimodal pretraining model that leverages multimodal data (such as code comments and abstract syntax trees) to pretrain code representations.
Downloads 17.35k
Release Time : 4/2/2022

Model Overview

UniXcoder is a unified multimodal pretraining model designed to pretrain code representations by leveraging multimodal data like code comments and abstract syntax trees, supporting various code-related tasks.

Model Features

Multimodal Pretraining
Leverages multimodal data like code comments and abstract syntax trees for pretraining to enhance code representation capabilities.
Unified Architecture
Supports three modes: encoder-only, decoder-only, and encoder-decoder, suitable for various code-related tasks.
Zero-shot Task Support
Supports multiple zero-shot tasks such as code search, code completion, function name prediction, API recommendation, and code summarization.

Model Capabilities

Code search
Code completion
Function name prediction
API recommendation
Code summarization

Use Cases

Code Understanding and Generation
Code Search
Search for relevant code snippets using natural language queries.
Accurately matches natural language descriptions with code functionality.
Code Completion
Automatically complete code based on context.
Generates contextually appropriate code completion suggestions.
Code Documentation
Function Name Prediction
Predict function names based on function bodies.
Generates name suggestions that align with function functionality.
Code Summarization
Generate natural language summaries for code.
Produces concise and accurate descriptions of code functionality.
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