Worked on the liguodongiot/transformers repository to enhance documentation by introducing code generation as a recognized task within natural language processing workflows. Focused on improving user onboarding and feature discoverability, the update clarified how code generation fits into the library’s capabilities, making it easier for users to leverage this functionality. The work was implemented using Markdown and drew on expertise in documentation, machine learning, and natural language processing. By providing a clear commit trail and detailed explanations, the contribution aimed to reduce support queries and streamline adoption for both new users and maintainers, while not involving any direct bug fixes during this period.