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xSumm
yuvraj/xSumm
xSumm is a summarization model from yuvraj. Use it when you need a shorter version of a longer text. It is set up for transformers.
BartForConditionalGenerationModel for extreme summarization- creates a one line abstractive summary of a given article PyTorch model available from transformers import AutoTokenizer, AutoModelWithLMHead, pip…
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At a glance
- Task
- Summarization
- Library
- transformers
- Model type
- bart
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2020
- SHA
- 6403af6f
Try a prompt
Model card
From the Hugging Face model README
Model description
BartForConditionalGenerationModel for extreme summarization- creates a one line abstractive summary of a given article
How to use
PyTorch model available
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
- Task
- Summarization
- Library
- transformers
- Type
- bart
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- Dec 11, 2020