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Model: yuvraj/xSumm
summarization mask_token: <mask>
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Contributed by

yuvraj Yuvraj Raghuvanshi
2 models

How to use this model directly from the πŸ€—/transformers library:

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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("yuvraj/xSumm") model = AutoModelForSeq2SeqLM.from_pretrained("yuvraj/xSumm")


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