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Model: deepset/bert-base-cased-squad2
pytorch tfsavedmodel bert question-answering
question-answering mask_token: [MASK]
Context
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馃敟 This model is currently loaded and running on the Inference API. 鈿狅笍 This model could not be loaded by the inference API. 鈿狅笍 This model can be loaded on the Inference API on-demand.
JSON Output
API endpoint 
								$
								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-base-cased-squad2
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deepset/bert-base-cased-squad2 deepset/bert-base-cased-squad2
11,997 downloads
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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-base-cased-squad2")
			
			model = AutoModelForQuestionAnswering.from_pretrained("deepset/bert-base-cased-squad2")
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List of model files
File name Last modified File size
config.json Fri, 24 Apr 2020 15:57:31 GMT 508.0B
modelcard.json Mon, 27 Jan 2020 15:16:40 GMT 230.0B
pytorch_model.bin Mon, 20 Jan 2020 17:02:29 GMT 413.2MB
saved_model.tar.gz Tue, 14 Apr 2020 20:50:57 GMT 383.6MB
special_tokens_map.json Mon, 20 Jan 2020 17:03:11 GMT 112.0B
tokenizer_config.json Mon, 20 Jan 2020 17:03:06 GMT 152.0B
vocab.txt Mon, 20 Jan 2020 17:03:10 GMT 208.4KB
Done