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Model: facebook/bart-large-xsum
pytorch tf rust bart seq2seq lm-head en arxiv:1910.13461 summarization license:mit
summarization mask_token: <mask>
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facebook/bart-large-xsum facebook/bart-large-xsum
15,464 downloads
last 30 days

pytorch

tf

Contributed by

Facebook AI company
2 team members · 23 models

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")
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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

List of model files
File name Last modified File size
README.md Thu, 20 Aug 2020 16:36:15 GMT 311.0B
config.json Mon, 15 Jun 2020 16:40:39 GMT 1.3KB
merges.txt Tue, 25 Aug 2020 05:10:38 GMT 445.6KB
pytorch_model.bin Sat, 28 Mar 2020 03:33:51 GMT 1.5GB
rust_model.ot Thu, 11 Jun 2020 07:42:09 GMT 1.9GB
tf_model.h5 Thu, 15 Oct 2020 17:42:18 GMT 1.5GB
tokenizer_config.json Tue, 25 Aug 2020 05:10:39 GMT 26.0B
vocab.json Tue, 25 Aug 2020 05:10:39 GMT 877.8KB
Done