Average Model Cost: $0.0000
Number of Runs: 33,066
Models by this creator
The ctrlsum-cnndm model is a text-to-text generation model that is specifically designed for summarization tasks. It is trained on the CNN/Daily Mail dataset and is designed to generate concise, coherent summaries of news articles. The model uses the Transformer architecture and is fine-tuned using the "ctrl" variant of text-to-text pre-training. It can be used to generate summaries of news articles or other text documents, and has been shown to perform well on summarization tasks.
The asian-bart-ecjk model is a text-to-text generation model that has been fine-tuned using the BART architecture. It can be used to generate coherent and contextually appropriate responses or summaries in various East Asian languages, including Chinese, Japanese, and Korean (ECJK). The fine-tuning process allows the model to better understand the syntax and structure of these languages, making it more effective at producing high-quality text output.