This n8n workflow is designed to automate the scoring and evaluation of text input by utilizing Hugging Face regression models deployed as inference endpoints. Triggered by an external workflow, it fetches performance and preference scores for a given text, processes the results, and consolidates the data for further analysis or storage. The process involves sending HTTP POST requests to specified endpoints with the input text, retrieving scores, and setting them into structured output variables. This automation is particularly useful for content analysis, quality assessment, or user preference prediction in applications such as content moderation, sentiment analysis, or user feedback evaluation. The workflow also includes detailed setup instructions for deploying Hugging Face models as inference endpoints, making it accessible for users to customize and adapt for their specific use cases.