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Model: enelpi/electra-base-discriminator-finetuned_squadv2_tr
pytorch electra 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/enelpi/electra-base-discriminator-finetuned_squadv2_tr
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enelpi/electra-base-discriminator-finetuned_squadv2_tr enelpi/electra-base-discriminator-finetuned_squadv2_tr
21 downloads
last 30 days

pytorch

tf

Contributed by

enelpi okan ciftci
5 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("enelpi/electra-base-discriminator-finetuned_squadv2_tr")
			
			model = AutoModelForQuestionAnswering.from_pretrained("enelpi/electra-base-discriminator-finetuned_squadv2_tr")
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List of model files
File name Last modified File size
config.json Fri, 31 Jul 2020 16:49:05 GMT 634.0B
pytorch_model.bin Fri, 31 Jul 2020 16:48:48 GMT 419.8MB
special_tokens_map.json Fri, 31 Jul 2020 16:48:47 GMT 112.0B
tokenizer_config.json Fri, 31 Jul 2020 16:49:05 GMT 126.0B
training_args.bin Fri, 31 Jul 2020 16:49:06 GMT 1.2KB
vocab.txt Fri, 31 Jul 2020 16:48:46 GMT 245.1KB
Done