Transformer Architecture Support
Provides state-of-the-art transformer models for various sequence tasks.
Distributed Training
Enables efficient multi-GPU and multi-node training for large datasets.
Mixed Precision Training
Supports FP16 training to reduce memory usage and speed up computation.
Extensible Modular Design
Easily add new models, tasks, and architectures with a flexible codebase.
Pretrained Model Zoo
Access to a variety of pretrained models for quick fine-tuning and experimentation.
Robust Evaluation Metrics
Built-in support for BLEU, ROUGE, and other standard NLP evaluation metrics.