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Model: facebook/bart-large-xsum
pytorch rust bart lm-head seq2seq
text-generation mask_token: <mask>
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								curl -X POST \

									-H "Authorization: Bearer YOUR_ORG_OR_USER_API_TOKEN" \

								-H "Content-Type: application/json" \

									-d '"json encoded string"' \

								https://api-inference.huggingface.co/models/facebook/bart-large-xsum
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facebook/bart-large-xsum facebook/bart-large-xsum
10,945 downloads
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pytorch

tf

Contributed by

Facebook AI company
1 team member · 12 models

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

			
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			from transformers import AutoTokenizer, AutoModelWithLMHead

			tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-xsum")
			
			model = AutoModelWithLMHead.from_pretrained("facebook/bart-large-xsum")
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Create one on GitHub Create a file named facebook/bart-large-xsum/README.md under model_cards.
List of model files
File name Last modified File size
config.json Mon, 15 Jun 2020 16:40:39 GMT 1.3KB
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
Done