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Model: deepset/bert-large-uncased-whole-word-masking-squad2
pytorch tfsavedmodel bert question-answering
question-answering 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 '{"question": "Where does she live?", "context": "She lives in Berlin."}' \

							https://api-inference.huggingface.co/models/deepset/bert-large-uncased-whole-word-masking-squad2
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deepset/bert-large-uncased-whole-word-masking-squad2 deepset/bert-large-uncased-whole-word-masking-squad2
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pytorch

tf

Contributed by

deepset deepset.ai company
13 models

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

			
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			from transformers import AutoTokenizer, AutoModelForQuestionAnswering

			tokenizer = AutoTokenizer.from_pretrained("deepset/bert-large-uncased-whole-word-masking-squad2")
			
			model = AutoModelForQuestionAnswering.from_pretrained("deepset/bert-large-uncased-whole-word-masking-squad2")
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List of model files
File name Last modified File size
added_tokens.json Fri, 17 Jan 2020 10:51:41 GMT 2.0B
config.json Fri, 24 Apr 2020 15:57:38 GMT 540.0B
modelcard.json Mon, 27 Jan 2020 15:17:33 GMT 230.0B
pytorch_model.bin Fri, 17 Jan 2020 10:51:45 GMT 1.2GB
saved_model.tar.gz Tue, 14 Apr 2020 20:56:51 GMT 1.2GB
special_tokens_map.json Fri, 17 Jan 2020 10:54:24 GMT 112.0B
tokenizer_config.json Fri, 17 Jan 2020 10:54:19 GMT 19.0B
vocab.txt Fri, 17 Jan 2020 10:54:22 GMT 226.1KB
Done