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Codebert Python

Developed by neulab
This model is a masked language model trained on Python code based on microsoft/codebert-base-mlm, primarily used for code evaluation and generation tasks.
Downloads 1.7M
Release Time : 9/23/2022

Model Overview

The model was trained for 1 million steps on Python code from the codeparrot/github-code-clean dataset, mainly used for the CodeBERTScore evaluation framework, but also applicable to other code-related tasks.

Model Features

Focus on Python Code
Specifically trained on Python code, providing better understanding and generation capabilities for Python.
CodeBERTScore Evaluation Framework
Primarily used for the CodeBERTScore code generation evaluation framework, offering high-quality code evaluation capabilities.
Transferability
Although mainly used for evaluation, it can also be applied to other code-related tasks such as code completion and code generation.

Model Capabilities

Code Evaluation
Code Understanding
Masked Language Modeling
Code Generation

Use Cases

Code Quality Evaluation
Code Generation Evaluation
Used to evaluate the quality of AI-generated code
Provides more accurate code quality scores
Code-Related Tasks
Code Completion
Used for code completion features in IDEs
Code Generation
Generates Python code snippets
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