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Model: amoux/scibert_nli_squad
pytorch bert question-answering
question-answering mask_token: [MASK]
Context
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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/amoux/scibert_nli_squad
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amoux/scibert_nli_squad amoux/scibert_nli_squad
337 downloads
last 30 days

pytorch

tf

Contributed by

amoux Carlos
1 model

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

			
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			from transformers import AutoTokenizer, AutoModelForQuestionAnswering

			tokenizer = AutoTokenizer.from_pretrained("amoux/scibert_nli_squad")
			
			model = AutoModelForQuestionAnswering.from_pretrained("amoux/scibert_nli_squad")
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List of model files
File name Last modified File size
config.json Fri, 24 Apr 2020 16:10:16 GMT 465.0B
pytorch_model.bin Tue, 21 Apr 2020 23:31:23 GMT 419.4MB
special_tokens_map.json Tue, 21 Apr 2020 23:32:14 GMT 112.0B
tokenizer_config.json Tue, 21 Apr 2020 23:31:21 GMT 136.0B
training_args.bin Tue, 21 Apr 2020 23:32:15 GMT 1.5KB
vocab.txt Tue, 21 Apr 2020 23:31:21 GMT 217.1KB
Done