Search code snippets in StarCoder dataset
Generate code snippets quickly from descriptions
Generate code from text prompts
Generate code snippets using language models
Generate code suggestions and fixes with AI
Submit code models for evaluation on benchmarks
Generate TensorFlow ops from example input and output
Run Python code to see output
Generate code with examples
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Build customized LLM flows using drag-and-drop
Generate code snippets based on your input
50X better prompt, 15X time saved, 10X clear response
StarCoder Search is an AI-powered tool designed to help users efficiently search for code snippets within the StarCoder dataset. It is specifically tailored for developers, researchers, and anyone working with code to quickly find relevant solutions, examples, or inspiration. By leveraging advanced search capabilities, StarCoder Search streamlines the process of discovering code snippets, saving users valuable time.
• Powerful Search Engine: Quickly locate code snippets using natural language or code-based queries.
• Instant Results: Get fast and relevant responses to your search queries.
• Code Syntax Highlighting: View code snippets in a clean, readable format with proper syntax highlighting.
• Smart Filtering: Narrow down results by programming language, tags, or other criteria.
• Code Suggestions: Receive recommendations based on your search to help spark creativity or solve problems.
What is included in the StarCoder dataset?
The StarCoder dataset contains a large, diverse collection of code snippets sourced from various repositories, open-source projects, and coding resources. It is regularly updated to include the latest examples and solutions.
Can I use StarCoder Search for custom datasets?
Currently, StarCoder Search is optimized for the StarCoder dataset. However, custom dataset support may be available in future updates or through specific plans.
How do I get help if I encounter issues?
For assistance, refer to the official documentation, contact support directly, or explore community forums where users and developers share tips and solutions.