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Model: mfeb/albert-xxlarge-v2-squad2
pytorch albert 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/mfeb/albert-xxlarge-v2-squad2
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mfeb/albert-xxlarge-v2-squad2 mfeb/albert-xxlarge-v2-squad2
1,616 downloads
last 30 days

pytorch

tf

Contributed by

mfeb Mark Feblowitz
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("mfeb/albert-xxlarge-v2-squad2")
			
			model = AutoModelForQuestionAnswering.from_pretrained("mfeb/albert-xxlarge-v2-squad2")
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List of model files
File name Last modified File size
config.json Fri, 24 Apr 2020 16:10:08 GMT 742.0B
nbest_predictions_.json Tue, 21 Apr 2020 13:09:02 GMT 53.9MB
null_odds_.json Tue, 21 Apr 2020 13:10:31 GMT 604.6KB
predictions_.json Tue, 21 Apr 2020 13:09:07 GMT 550.9KB
pytorch_model.bin Tue, 21 Apr 2020 13:09:13 GMT 849.2MB
special_tokens_map.json Tue, 21 Apr 2020 13:10:32 GMT 156.0B
spiece.model Tue, 21 Apr 2020 13:10:31 GMT 742.5KB
tokenizer_config.json Tue, 21 Apr 2020 13:10:32 GMT 39.0B
training_args.bin Tue, 21 Apr 2020 13:09:00 GMT 1.6KB
Done