How I contributed a new model to the Transformers library using Codex

Niels Rogge reflects on his journey contributing to the Transformers library, beginning with his work on the TAPAS model in 2020, which not only enhanced his understanding of the library but also helped him develop skills in tools like git and PyTorch. Over time, his contributions expanded to include a variety of models, aiding Hugging Face's evolution from a natural language processing-focused company to a broader machine learning entity. In 2026, with advancements in coding agents like Codex, Rogge tested their capabilities by automating the integration of the VidEoMT model into the Transformers library, highlighting the shift in software development where coding agents can now handle complex model porting tasks with minimal human input. This evolution in coding underscores the transformative impact of AI in software development, as Rogge continues to enjoy contributing to the community and exploring the potential of new technologies.