| language: "en" | |
| tags: | |
| - summarization | |
| - extreme summarization | |
| | |
| ## Model description | |
| | |
| BartForConditionalGenerationModel for extreme summarization- creates a one line abstractive summary of a given article | |
| | |
| ## How to use | |
| | |
| PyTorch model available | |
| | |
| ```python | |
| from transformers import AutoTokenizer, AutoModelWithLMHead, pipeline | |
| | |
| tokenizer = AutoTokenizer.from_pretrained("yuvraj/xSumm") | |
| model = AutoModelWithLMHead.from_pretrained("yuvraj/xSumm") | |
| | |
| xsumm = pipeline('summarization', model=model, tokenizer=tokenizer) | |
| xsumm("<text to be summarized>") | |
| | |
| ## Limitations and bias | |
| Trained on a small fraction of the xsumm training dataset | |