Average Model Cost: $0.0000
Number of Runs: 19,018
Models by this creator
The donut-base model is a machine learning model designed for use in text generation tasks. It is based on the GPT-2 architecture and trained on a large dataset of text from various sources. The model can generate coherent and contextually relevant text based on a given prompt. It is a versatile tool that can be used for a wide range of natural language processing tasks, including chatbot development, content generation, and language translation.
The layoutlmv2-finetuned-funsd model is a text recognition model, specifically designed for extracting information from documents with complex layouts. It is trained on the FUNSD dataset, which contains labeled bounding boxes and text strings for various document elements such as text, tables, and figures. The model uses the LayoutLMv2 architecture, which combines visual and textual information to perform token classification and extract structured data from documents.