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Model: salti/xlm-roberta-large-arabic_qa
pytorch xlm-roberta 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/salti/xlm-roberta-large-arabic_qa
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salti/xlm-roberta-large-arabic_qa salti/xlm-roberta-large-arabic_qa
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pytorch

tf

Contributed by

salti Mohamed Al Salti
2 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("salti/xlm-roberta-large-arabic_qa")
			
			model = AutoModelForQuestionAnswering.from_pretrained("salti/xlm-roberta-large-arabic_qa")
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List of model files
File name Last modified File size
config.json Sun, 16 Aug 2020 06:11:40 GMT 557.0B
pytorch_model.bin Sun, 16 Aug 2020 06:09:59 GMT 2.1GB
sentencepiece.bpe.model Sun, 16 Aug 2020 06:11:41 GMT 4.8MB
special_tokens_map.json Sun, 16 Aug 2020 06:11:42 GMT 150.0B
tokenizer_config.json Sun, 16 Aug 2020 06:11:42 GMT 49.0B
training_args.bin Sun, 16 Aug 2020 06:11:43 GMT 1.4KB
Done