Generate documentation for Hugging Face spaces
Edit a README.md file for an organization card
Generate and export filtered syndical news reports to PDF
Ask questions of uploaded documents and GitHub repos
Upload the pdf report and extract the data from it
Generate a detailed report on your dataset
Browse questions from the MMMU dataset
Convert PDF to HTML with pdf2htmlEX
Edit Markdown to create an organization card
Analyze app performance with metrics
Retrieve JSON data from Firebase
Upload documents for Q&A
Run text analysis on your documents
Test is a specialized tool designed for document analysis, leveraging advanced AI capabilities to generate high-quality documentation for Hugging Face spaces. It simplifies the process of creating, organizing, and managing documentation, making it an essential resource for developers and data scientists working with machine learning models.
• Multi-format support: Handles various document formats, including PDF, Word, and Markdown.
• Advanced NLP capabilities: Utilizes state-of-the-art natural language processing to analyze and structure content.
• Smart summarization: Automatically generates concise summaries of lengthy documents.
• Customizable templates: Allows users to create tailored documentation templates.
• Integration with Hugging Face ecosystem: Seamless compatibility with Hugging Face libraries and spaces.
What formats does Test support?
Test supports PDF, Word, Markdown, and several other common document formats.
Can I customize the output of Test?
Yes, Test provides customizable templates and settings to tailor the output to your needs.
How does Test integrate with Hugging Face spaces?
Test is designed to work seamlessly with Hugging Face libraries and spaces, allowing direct integration for model documentation and analysis.