Facebook/Bart Large Xsum

The model requires significant computational resources, which can be costly and impractical for real-time or high-throughput applications.

While fine-tuning is possible, the model's architecture does not easily allow for significant changes to its core functionality without deep technical expertise and substantial computational resources.

The tool relies heavily on specific versions of PyTorch and other Python libraries, which can lead to compatibility issues if these dependencies are not strictly managed.

While basic usage is covered, the documentation does not provide comprehensive guidance on fine-tuning or integrating the model into complex workflows.