Audience
Developers and users interested in a solution to generate, summarize, and autocomplete code
About CodeT5
Code for CodeT5, a new code-aware pre-trained encoder-decoder model. Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. This is the official PyTorch implementation for the EMNLP 2021 paper from Salesforce Research. CodeT5-large-ntp-py is specially optimized for Python code generation tasks and employed as the foundation model for our CodeRL, yielding new SOTA results on the APPS Python competition-level program synthesis benchmark. This repo provides the code for reproducing the experiments in CodeT5. CodeT5 is a new pre-trained encoder-decoder model for programming languages, which is pre-trained on 8.35M functions in 8 programming languages (Python, Java, JavaScript, PHP, Ruby, Go, C, and C#). In total, it achieves state-of-the-art results on 14 sub-tasks in a code intelligence benchmark - CodeXGLUE. Generate code based on the natural language description.
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Integrations
Company Information
Salesforce
github.com/salesforce/CodeT5
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Product Details
Platforms Supported
Cloud
Training
Documentation
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Online
CodeT5 Frequently Asked Questions
Q: What kinds of users and organization types does CodeT5 work with?
CodeT5 works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does CodeT5 support in their product?
CodeT5 supports these languages: English.
Q: What kind of support options does CodeT5 offer?
CodeT5 offers support via online.
Q: What other applications or services does CodeT5 integrate with?
CodeT5 integrates with: C, C#, Go, Java, JavaScript, PHP, Python, and Ruby.
Q: What type of training does CodeT5 provide?
CodeT5 provides training in the form of documentation.
