Hi, I’m Anthony, an independent developer passionate about building efficient, low-compute solutions in AI. I’m currently spearheading an open-source initiative to develop a Linformer-based transformer model that dramatically reduces the computational complexity of handling long-sequence tasks.

This project focuses on creating models that lower the memory and compute overhead typically seen in transformer architectures, making it easier for smaller teams, researchers, and developers with limited resources to access state-of-the-art NLP technologies. By optimizing the self-attention mechanism, the Linformer model enables faster training and more efficient deployment without sacrificing performance.

I believe that democratizing access to powerful AI models is crucial for innovation, and I want to make these tools available to everyone through open-source platforms like Hugging Face. Your sponsorship will directly support the training and development of this model, helping to bring more accessible and efficient AI to the community.

If you believe in making AI more accessible to everyone, I’d be grateful for your support!