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Model: unc-nlp/lxmert-vqa-uncased
pytorch lxmert question-answering
question-answering mask_token:
Context
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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/unc-nlp/lxmert-vqa-uncased
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unc-nlp/lxmert-vqa-uncased unc-nlp/lxmert-vqa-uncased
280 downloads
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pytorch

tf

Contributed by

UNC NLP university
2 team members 路 3 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("unc-nlp/lxmert-vqa-uncased")
			
			model = AutoModelForQuestionAnswering.from_pretrained("unc-nlp/lxmert-vqa-uncased")
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List of model files
File name Last modified File size
config.json Thu, 10 Sep 2020 17:57:38 GMT 880.0B
pytorch_model.bin Thu, 10 Sep 2020 17:57:42 GMT 816.3MB
special_tokens_map.json Thu, 10 Sep 2020 17:57:39 GMT 112.0B
vocab.txt Thu, 10 Sep 2020 17:57:39 GMT 226.1KB
Done