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Model: facebook/bart-large-xsum
pytorch tf rust bart seq2seq en arxiv:1910.13461 summarization license:mit
Model card Files and versions Use in transformers

How to use this model directly from the 🤗/transformers library: 

					
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						from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
						
						tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-xsum")
						
						model = AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large-xsum")
See raw config file

How to clone the model repo 

					
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					git lfs install
					git clone https://huggingface.co/facebook/bart-large-xsum
					

						# if you want to clone without large files – just their pointers
						# prepend your git clone with the following env var:
					

					GIT_LFS_SKIP_SMUDGE=1
Done
summarization mask_token: <mask>
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Contributed by

Facebook AI company
2 team members · 26 models
Hosted on huggingface.co

Bart model finetuned on xsum

docs: https://huggingface.co/transformers/model_doc/bart.html

finetuning: examples/seq2seq/ (as of Aug 20, 2020)

Metrics: ROUGE > 22 on xsum.

variants: search for distilbart

paper: https://arxiv.org/abs/1910.13461