🎯The space handles documenting content from the input image along with standardized plain text. It includes adjustment tools with over 30 font styles, file formatting support for PDF and DOCX, textual alignments, font size adjustments, and line spacing modifications.
📄PDFs are rendered using the ReportLab software library toolkit.
🎯Triangulum is a collection of pretrained and instruction-tuned generative models, designed for multilingual applications. These models are trained using synthetic datasets based on long chains of thought, enabling them to perform complex reasoning tasks effectively.
The Hugging Face Download Tool is a sophisticated graphical user interface application designed to simplify the process of downloading resources from Hugging Face repositories. This tool addresses common challenges in model and file downloads through its intelligent features and user-friendly interface.
✨ Key Features - 🖥️ Intuitive graphical interface for easy operation - 🔄 Advanced retry mechanism with smart error handling - ⏸️ Resume capability for interrupted downloads - 📊 Real-time download status monitoring - 🔐 Secure access to private repositories via token authentication
🛠️ Technical Highlights The tool implements several advanced features to ensure reliable downloads: - 📦 Chunk-based downloading with 1MB segments - ⚡ Adaptive retry intervals (5-300 seconds) based on error types - 🔌 Connection pooling for optimized performance - 🛡️ Built-in rate limiting protection - 🔑 Secure token handling for private repository access
This tool is ideal for researchers, developers, and AI practitioners who regularly work with Hugging Face resources and need a reliable, user-friendly download solution. 💻 It supports all major operating systems and requires minimal setup, making it accessible to users of all technical levels. 🚀
🎯Fine-tuning SmolLM2 on a lightweight synthetic reasoning dataset for reasoning-specific tasks. Future updates will focus on lightweight, blazing-fast reasoning models. Until then, check out the blog for fine-tuning details.