**Release Date:** December 2024
**Key Features**
- **Classification Support**:
- Supports multi-class and multi-label classifications for text datasets.
- **Simplified Usage for MEF**:
- Clear directory structure and installation setup.
- Designed for lightweight and intuitive usage.
- **Core Functionalities**:
- Support for training language models like CamemBERT on thematic datasets.
- Integration of OpenAI (via Ollama) for enhanced AI functionalities.
- Creation of synthetic datasets for tutorials (Elegana).
- Tutorials for training and inference workflows.
- **Development Enhancements**:
- GitHub Codespaces and VSCode support for efficient development.
- Colab compatibility for GPU testing.
- Code linting using `ruff`.
- Parameter validation with `pydantic`.
- **Additional Utilities**:
- Scheduler integration with Flair.
- Modular dynamic models for easy customization.
- Process workflow for train, holdout, and cross-validation.
- **Testing and Documentation**:
- Comprehensive test suite to ensure non-regression.
- Clear and concise documentation, created with AI assistance.
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