Getting Started

Welcome to torchTextClassifiers! This section will help you get up and running quickly.

• Installation
  • Requirements
  • Installation from Source
  • Optional Dependencies
  • Verification
  • GPU Support
  • Troubleshooting
  • Next Steps
• Quick Start
  • Overview
  • Complete Example
  • Understanding the Code
  • Expected Output
  • Running with Your Own Data
  • Using Validation Data
  • What’s Next?
  • Common Issues
  • Summary

What You’ll Learn

In this section, you’ll learn:

1. Installation: How to install torchTextClassifiers and its dependencies

2. Quick Start: Build your first text classifier in minutes

Prerequisites

Before you begin, make sure you have:

• Python 3.11 or higher

• Basic familiarity with Python and PyTorch

• A working Python environment (we recommend using uv or conda)

Next Steps

After completing the quick start, you can:

• Explore the Architecture Overview to understand how the framework is designed

• Follow Tutorials for specific use cases

• Check the API Reference for detailed API documentation

Need Help?

If you encounter any issues:

• Check our Tutorials for common patterns

• Visit our GitHub Issues to report bugs

• Join the discussion on GitHub Discussions