| # For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1 | |
| # Doc / guide: https://huggingface.co/docs/hub/model-cards | |
| {} | |
| # Problem Statment: | |
| Given a news article, generate a summary of two-to-three sentences and a headline for the article. The summary should be abstractive rather than extractive. In abstractive summarization, new sentences are generated as part of the summary and the sentences in the summary might not be present in the news article. | |
| # Model Description | |
| <-The model takes in a summary generated by any pegasus transformers as input and generates the headline from it -> | |